Alternatives to Epsilla
Compare Epsilla alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Epsilla in 2026. Compare features, ratings, user reviews, pricing, and more from Epsilla competitors and alternatives in order to make an informed decision for your business.
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Gemini Enterprise Agent Platform is a comprehensive solution from Google Cloud designed to help organizations build, scale, govern, and optimize AI agents. It represents the evolution of Vertex AI, combining advanced model development with new capabilities for agent orchestration and integration. The platform provides access to over 200 leading AI models, including Google’s Gemini series and third-party options like Anthropic’s Claude. It enables teams to create intelligent agents using both low-code and code-first development environments. With features like Agent Runtime and Memory Bank, businesses can deploy long-running agents that retain context and perform complex workflows. The platform emphasizes security and governance through tools like Agent Identity, Agent Registry, and Agent Gateway. It also includes optimization tools such as simulation, evaluation, and observability to ensure consistent agent performance.
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Couchbase
Couchbase
Couchbase’s operational data platform for AI is a scalable foundation for enterprise operational, analytical, mobile and AI workloads that replaces legacy infrastructure and data services. Bring your data to life in new ways with Couchbase’s enterprise data partnership: launch game-changing customer experiences, explore the infinite possibilities of AI, scale your global operations, and move your data from the cloud to the edge, and beyond. Couchbase’s operational data platform for AI eliminates fragmented tech stacks, so teams can stay innovative and agile, with less risk and lower cost of ownership. With enterprise partnership and scalable, AI-ready technology, Couchbase turns your data into the foundation for your next breakthrough. -
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LM-Kit.NET
LM-Kit
LM-Kit.NET is a complete local AI runtime for .NET that lets engineering teams ship AI-powered features without cloud dependencies, per-token costs, or data leaving the network. Most .NET AI integrations stop at inference. LM-Kit.NET covers the full range of capabilities production applications actually need: agentic workflows with tool calling, planning, and memory; document intelligence with OCR and structured extraction; retrieval-augmented generation with built-in vector storage; multilingual speech-to-text; vision and multimodal understanding; text analysis with classification, NER, PII extraction, and sentiment; and text generation with translation, summarization, and constrained output. Ships in one NuGet package, runs in-process with no sidecar services, and works across all major hardware acceleration backends. Drop-in replacement for Semantic Kernel through its Microsoft.Extensions.AI compatibility layer. -
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Kore.ai
Kore.ai
Kore.ai is an enterprise AI platform that enables organizations to build, deploy, manage, and optimize AI agents for customer service and employee productivity use cases. Its Agent Platform, known as Artemis, provides the foundation for creating AI-powered applications, intelligent workflows, and enterprise-grade automation solutions. The platform includes pre-built applications for industries such as banking, healthcare, retail, human resources, recruiting, and IT support. Organizations can also leverage AI agent builders, enterprise search, orchestration tools, and marketplace integrations to accelerate development and deployment. Kore.ai is designed to support large-scale enterprise environments with strong governance, administrative controls, and integration capabilities. By combining AI agents, automation, and business process intelligence, Kore.ai helps enterprises improve operational efficiency and customer experiences. -
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Mistral AI
Mistral AI
Mistral AI is a pioneering artificial intelligence startup specializing in open-source generative AI. The company offers a range of customizable, enterprise-grade AI solutions deployable across various platforms, including on-premises, cloud, edge, and devices. Flagship products include "Le Chat," a multilingual AI assistant designed to enhance productivity in both personal and professional contexts, and "La Plateforme," a developer platform that enables the creation and deployment of AI-powered applications. Committed to transparency and innovation, Mistral AI positions itself as a leading independent AI lab, contributing significantly to open-source AI and policy development.Starting Price: Free -
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Azure AI Search
Microsoft
Deliver high-quality responses with a vector database built for advanced retrieval augmented generation (RAG) and modern search. Focus on exponential growth with an enterprise-ready vector database that comes with security, compliance, and responsible AI practices built in. Build better applications with sophisticated retrieval strategies backed by decades of research and customer validation. Quickly deploy your generative AI app with seamless platform and data integrations for data sources, AI models, and frameworks. Automatically upload data from a wide range of supported Azure and third-party sources. Streamline vector data processing with built-in extraction, chunking, enrichment, and vectorization, all in one flow. Support for multivector, hybrid, multilingual, and metadata filtering. Move beyond vector-only search with keyword match scoring, reranking, geospatial search, and autocomplete.Starting Price: $0.11 per hour -
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Contextual AI
Contextual AI
The Contextual AI Platform is an enterprise-grade solution designed to help teams build AI agents that reduce hours of technical work to just minutes. It brings together state-of-the-art context engineering tools, enterprise data management, and production-ready security in one unified platform. With Agent Composer, users can define and configure specialized AI agents using natural language prompts, visual editors, or pre-built templates. The platform supports continuous ingestion and extraction from massive knowledge bases, transforming unstructured enterprise data into actionable intelligence. Contextual AI enables traceable reasoning, fine-grained attribution, and grounded outputs that users can trust. Its robust runtime ensures agents perform reliably at scale across complex document volumes. The platform is built to move organizations from experimentation to production quickly and confidently. -
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TopK
TopK
TopK is a serverless, cloud-native, document database built for powering search applications. It features native support for both vector search (vectors are simply another data type) and keyword search (BM25-style) in a single, unified system. With its powerful query expression language, TopK enables you to build reliable search applications (semantic search, RAG, multi-modal, you name it) without juggling multiple databases or services. Our unified retrieval engine will evolve to support document transformation (automatically generate embeddings), query understanding (parse metadata filters from user query), and adaptive ranking (provide more relevant results by sending “relevance feedback” back to TopK) under one unified roof. -
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Lettria
Lettria
Lettria offers a powerful AI platform known as GraphRAG, designed to enhance the accuracy and reliability of generative AI applications. By combining the strengths of knowledge graphs and vector-based AI models, Lettria ensures that businesses can extract verifiable answers from complex and unstructured data. The platform helps automate tasks like document parsing, data model enrichment, and text classification, making it ideal for industries such as healthcare, finance, and legal. Lettria’s AI solutions prevent hallucinations in AI outputs, ensuring transparency and trust in AI-generated results.Starting Price: €600 per month -
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FalkorDB
FalkorDB
FalkorDB is an ultra-fast, multi-tenant graph database optimized for GraphRAG, delivering accurate, relevant AI/ML results with reduced hallucinations and enhanced performance. It leverages sparse matrix representations and linear algebra to efficiently handle complex, interconnected data in real-time, resulting in fewer hallucinations and more accurate responses from large language models. FalkorDB supports the OpenCypher query language with proprietary enhancements, enabling expressive and efficient querying of graph data. It offers built-in vector indexing and full-text search capabilities, allowing for complex searches and similarity matching within the same database environment. FalkorDB's architecture includes multi-graph support, enabling multiple isolated graphs within a single instance, ensuring security and performance across tenants. It also provides high availability with live replication, ensuring data is always accessible. -
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Dynamiq
Dynamiq
Dynamiq is a platform built for engineers and data scientists to build, deploy, test, monitor and fine-tune Large Language Models for any use case the enterprise wants to tackle. Key features: 🛠️ Workflows: Build GenAI workflows in a low-code interface to automate tasks at scale 🧠 Knowledge & RAG: Create custom RAG knowledge bases and deploy vector DBs in minutes 🤖 Agents Ops: Create custom LLM agents to solve complex task and connect them to your internal APIs 📈 Observability: Log all interactions, use large-scale LLM quality evaluations 🦺 Guardrails: Precise and reliable LLM outputs with pre-built validators, detection of sensitive content, and data leak prevention 📻 Fine-tuning: Fine-tune proprietary LLM models to make them your ownStarting Price: $125/month -
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Graphwise
Graphwise
Graphwise is an AI platform that helps businesses automate knowledge and trust their AI by turning fragmented data into a trusted semantic backbone. The all-in-one suite makes generative AI reliable and scalable by transforming data into AI-ready, context-rich assets, deploying intelligent agent-based systems, and delivering powerful AI applications on an integrated platform. Graphwise moves beyond simple data chunks with Precise GraphRAG, using a governed knowledge graph to ground every response in verified facts, eliminate hallucinations, and provide accurate, actionable answers. It combines automated modeling, high-performance graph technology, semantic search, recommendation, taxonomy and ontology management, data automation, graph-based text mining, and enterprise-ready GraphRAG workflows. It supports use cases such as technical knowledge management, semantic digital twins, compliance intelligence, and scientific knowledge management. -
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Progress Agentic RAG
Progress Software
Progress Agentic RAG is a SaaS Retrieval-Augmented Generation platform that automatically indexes, searches, and generates AI-powered insights from structured and unstructured business data, including documents, emails, video, slides, and more, by combining RAG with agentic workflows that reason, classify, summarize, and answer queries with traceable, verifiable results without requiring users to build and manage their own RAG infrastructure. Designed as a modular no-code RAG-as-a-Service solution, it accelerates AI readiness by letting organizations extract contextual intelligence and business knowledge using natural language queries and quality-driven output metrics while integrating with any leading Large Language Model (LLM) and supporting multilingual, multimodal content indexing and retrieval. Features include AI summarization and classification, generated Q&A from enterprise data, a Prompt Lab for validating LLM behavior with custom prompts.Starting Price: $700 per month -
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Credal
Credal
Credal is the safest way to leverage AI at your enterprise. Our APIs, chat UI, and Slackbot automatically mask, redact or warn users about sensitive data, based on policies set by IT. Users get the most powerful AI apps like GPT-4-32k (the private and most powerful version of ChatGPT-4), Claude and others, whilst the Enterprise can control usage with confidence that data is secured and Audit Logged. Credal integrates with enterprise data sources like Google Drive, Confluence, and Slack so employees can seamlessly use AI with their existing knowledge assets whilst respecting source system permissions and masking sensitive data.Starting Price: $500 per month -
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OPAQUE
OPAQUE Systems
OPAQUE Systems offers a leading confidential AI platform that enables organizations to securely run AI, machine learning, and analytics workflows on sensitive data without compromising privacy or compliance. Their technology allows enterprises to unleash AI innovation risk-free by leveraging confidential computing and cryptographic verification, ensuring data sovereignty and regulatory adherence. OPAQUE integrates seamlessly into existing AI stacks via APIs, notebooks, and no-code solutions, eliminating the need for costly infrastructure changes. The platform provides verifiable audit trails and attestation for complete transparency and governance. Customers like Ant Financial have benefited by using previously inaccessible data to improve credit risk models. With OPAQUE, companies accelerate AI adoption while maintaining uncompromising security and control. -
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Cohere Embed
Cohere
Cohere's Embed is a leading multimodal embedding platform designed to transform text, images, or a combination of both into high-quality vector representations. These embeddings are optimized for semantic search, retrieval-augmented generation, classification, clustering, and agentic AI applications. The latest model, embed-v4.0, supports mixed-modality inputs, allowing users to combine text and images into a single embedding. It offers Matryoshka embeddings with configurable dimensions of 256, 512, 1024, or 1536, enabling flexibility in balancing performance and resource usage. With a context length of up to 128,000 tokens, embed-v4.0 is well-suited for processing large documents and complex data structures. It also supports compressed embedding types, including float, int8, uint8, binary, and ubinary, facilitating efficient storage and faster retrieval in vector databases. Multilingual support spans over 100 languages, making it a versatile tool for global applications.Starting Price: $0.47 per image -
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Vertesia
Vertesia
Vertesia is a unified, low-code generative AI platform that enables enterprise teams to rapidly build, deploy, and operate GenAI applications and agents at scale. Designed for both business professionals and IT specialists, Vertesia offers a frictionless development experience, allowing users to go from prototype to production without extensive timelines or heavy infrastructure. It supports multiple generative AI models from leading inference providers, providing flexibility and preventing vendor lock-in. Vertesia's agentic retrieval-augmented generation (RAG) pipeline enhances generative AI accuracy and performance by automating and accelerating content preparation, including intelligent document processing and semantic chunking. With enterprise-grade security, SOC2 compliance, and support for leading cloud infrastructures like AWS, GCP, and Azure, Vertesia ensures secure and scalable deployments. -
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Mixedbread
Mixedbread
Mixedbread is a fully-managed AI search engine that allows users to build production-ready AI search and Retrieval-Augmented Generation (RAG) applications. It offers a complete AI search stack, including vector stores, embedding and reranking models, and document parsing. Users can transform raw data into intelligent search experiences that power AI agents, chatbots, and knowledge systems without the complexity. It integrates with tools like Google Drive, SharePoint, Notion, and Slack. Its vector stores enable users to build production search engines in minutes, supporting over 100 languages. Mixedbread's embedding and reranking models have achieved over 50 million downloads and outperform OpenAI in semantic search and RAG tasks while remaining open-source and cost-effective. The document parser extracts text, tables, and layouts from PDFs, images, and complex documents, providing clean, AI-ready content without manual preprocessing. -
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Orq.ai
Orq.ai
Orq.ai is the #1 platform for software teams to operate agentic AI systems at scale. Optimize prompts, deploy use cases, and monitor performance, no blind spots, no vibe checks. Experiment with prompts and LLM configurations before moving to production. Evaluate agentic AI systems in offline environments. Roll out GenAI features to specific user groups with guardrails, data privacy safeguards, and advanced RAG pipelines. Visualize all events triggered by agents for fast debugging. Get granular control on cost, latency, and performance. Connect to your favorite AI models, or bring your own. Speed up your workflow with out-of-the-box components built for agentic AI systems. Manage core stages of the LLM app lifecycle in one central platform. Self-hosted or hybrid deployment with SOC 2 and GDPR compliance for enterprise security. -
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Airbyte
Airbyte
Airbyte is an open-source data integration platform designed to help businesses synchronize data from various sources to their data warehouses, lakes, or databases. The platform provides over 550 pre-built connectors and enables users to easily create custom connectors using low-code or no-code tools. Airbyte's solution is optimized for large-scale data movement, enhancing AI workflows by seamlessly integrating unstructured data into vector databases like Pinecone and Weaviate. It offers flexible deployment options, ensuring security, compliance, and governance across all models.Starting Price: $2.50 per credit -
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Cohere
Cohere AI
Cohere is an enterprise AI platform that enables developers and businesses to build powerful language-based applications. Specializing in large language models (LLMs), Cohere provides solutions for text generation, summarization, and semantic search. Their model offerings include the Command family for high-performance language tasks and Aya Expanse for multilingual applications across 23 languages. Focused on security and customization, Cohere allows flexible deployment across major cloud providers, private cloud environments, or on-premises setups to meet diverse enterprise needs. The company collaborates with industry leaders like Oracle and Salesforce to integrate generative AI into business applications, improving automation and customer engagement. Additionally, Cohere For AI, their research lab, advances machine learning through open-source projects and a global research community.Starting Price: Free -
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Intuist AI
Intuist AI
Intuist.ai is a platform that simplifies AI deployment by enabling users to build and deploy secure, scalable, and intelligent AI agents in three simple steps. First, users select from various agent types, including customer support, data analysis, and planning. Next, they add data sources such as webpages, documents, Google Drive, or APIs to power their AI agents. Finally, they train and deploy the agents as JavaScript widgets, webpages, or APIs as a service. It offers enterprise-grade security with granular user access controls and supports diverse data sources, including websites, documents, APIs, audio, and video. Customization options allow for brand-specific identity features, and comprehensive analytics provide actionable insights. Integration is seamless, with robust Retrieval-Augmented Generation (RAG) APIs and a no-code platform for quick deployments. Enhanced engagement features include embeddable agents for instant website integration. -
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Dify
Dify
Dify is an open-source platform designed to streamline the development and operation of generative AI applications. It offers a comprehensive suite of tools, including an intuitive orchestration studio for visual workflow design, a Prompt IDE for prompt testing and refinement, and enterprise-level LLMOps capabilities for monitoring and optimizing large language models. Dify supports integration with various LLMs, such as OpenAI's GPT series and open-source models like Llama, providing flexibility for developers to select models that best fit their needs. Additionally, its Backend-as-a-Service (BaaS) features enable seamless incorporation of AI functionalities into existing enterprise systems, facilitating the creation of AI-powered chatbots, document summarization tools, and virtual assistants. -
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Supervity
Supervity
Supervity is the Services-as-Software company building Self-Driving Auto Apps for enterprise operations. The company’s AI Employees execute operational work while humans remain in command through policies, governance, and oversight. From individual AI Employees to enterprise-scale AI Command Centers, Supervity enables organizations to run AI-first operations across finance, procurement, HR, IT, customer operations, and shared services. AI does the work. You are in command. -
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scalerX.ai
scalerX.ai
Launch & train your own personalized AI-RAG agents on Telegram. With scalerX you can create personalized RAG AI-powered agents trained with your knowledge base in minutes, no code required. These AI agents are integrated directly into Telegram, including groups and channels. Awesome for education, sales, customer service, entertainment, automating community moderation and engagement. Agents can behave as chatbots in solo, groups and channels, support text-to-text, text-to-image, voice. You can set agent usage quotas and permissions using ACLs so only authorized users can access your agents. Training your agents is easy: create your agent and upload files to your bots knowledge base, auto-sync from Dropbox, Google Drive or scrape web pages.Starting Price: $5/month -
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Amazon Bedrock
Amazon
Amazon Bedrock is a fully managed service that simplifies building and scaling generative AI applications by providing access to a variety of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself. Through a single API, developers can experiment with these models, customize them using techniques like fine-tuning and Retrieval Augmented Generation (RAG), and create agents that interact with enterprise systems and data sources. As a serverless platform, Amazon Bedrock eliminates the need for infrastructure management, allowing seamless integration of generative AI capabilities into applications with a focus on security, privacy, and responsible AI practices. -
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Klee
Klee
Local and secure AI on your desktop, ensuring comprehensive insights with complete data security and privacy. Experience unparalleled efficiency, privacy, and intelligence with our cutting-edge macOS-native app and advanced AI features. RAG can utilize data from a local knowledge base to supplement the large language model (LLM). This means you can keep sensitive data on-premises while leveraging it to enhance the model‘s response capabilities. To implement RAG locally, you first need to segment documents into smaller chunks and then encode these chunks into vectors, storing them in a vector database. These vectorized data will be used for subsequent retrieval processes. When a user query is received, the system retrieves the most relevant chunks from the local knowledge base and inputs these chunks along with the original query into the LLM to generate the final response. We promise lifetime free access for individual users. -
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Vectorize
Vectorize
Vectorize is a platform designed to transform unstructured data into optimized vector search indexes, facilitating retrieval-augmented generation pipelines. It enables users to import documents or connect to external knowledge management systems, allowing Vectorize to extract natural language suitable for LLMs. The platform evaluates multiple chunking and embedding strategies in parallel, providing recommendations or allowing users to choose their preferred methods. Once a vector configuration is selected, Vectorize deploys it into a real-time vector pipeline that automatically updates with any data changes, ensuring accurate search results. The platform offers connectors to various knowledge repositories, collaboration platforms, and CRMs, enabling seamless integration of data into generative AI applications. Additionally, Vectorize supports the creation and updating of vector indexes in preferred vector databases.Starting Price: $0.57 per hour -
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ID Privacy AI
ID Privacy AI
At ID Privacy, we are shaping the future of AI with a focus on privacy-first solutions. Our mission is simple, to deliver cutting-edge AI technologies that empower businesses to innovate without compromising the security and trust of their users. ID Privacy AI delivers secure, adaptable AI models built with privacy at the core. We empower businesses across industries to harness advanced AI, whether optimizing workflows, enhancing customer AI chat experiences, or driving insights, while safeguarding data. Built under a cloak of stealth, the team at ID Privacy began meeting and formulating the plan for our AI as a service solution. Launched with multi-modal, multi-lingual capabilities and the deepest knowledge base on ad tech currently available anywhere. ID Privacy AI is focused on privacy-first AI development for businesses and enterprises. Empowering businesses with a flexible AI framework that protects data while solving complex challenges across any vertical.Starting Price: $15 per month -
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Oracle Autonomous Database
Oracle
Oracle Autonomous Database is a fully automated cloud database that uses machine learning to automate database tuning, security, backups, updates, and other routine management tasks traditionally performed by DBAs. It supports a wide range of data types and models, including SQL, JSON documents, graph, geospatial, text, and vectors, enabling developers to build applications for any workload without integrating multiple specialty databases. Built-in AI and machine learning capabilities allow for natural language queries, automated data insights, and the development of AI-powered applications. It offers self-service tools for data loading, transformation, analysis, and governance, reducing the need for IT intervention. It provides flexible deployment options, including serverless and dedicated infrastructure on Oracle Cloud Infrastructure (OCI), as well as on-premises with Exadata Cloud@Customer.Starting Price: $123.86 per month -
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Superlinked
Superlinked
Combine semantic relevance and user feedback to reliably retrieve the optimal document chunks in your retrieval augmented generation system. Combine semantic relevance and document freshness in your search system, because more recent results tend to be more accurate. Build a real-time personalized ecommerce product feed with user vectors constructed from SKU embeddings the user interacted with. Discover behavioral clusters of your customers using a vector index in your data warehouse. Describe and load your data, use spaces to construct your indices and run queries - all in-memory within a Python notebook. -
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FastGPT
FastGPT
FastGPT is a free, open source AI knowledge base platform that offers out-of-the-box data processing, model invocation, retrieval-augmented generation retrieval, and visual AI workflows, enabling users to easily build complex large language model applications. It allows the creation of domain-specific AI assistants by training models with imported documents or Q&A pairs, supporting various formats such as Word, PDF, Excel, Markdown, and web links. The platform automates data preprocessing tasks, including text preprocessing, vectorization, and QA segmentation, enhancing efficiency. FastGPT supports AI workflow orchestration through a visual drag-and-drop interface, facilitating the design of complex workflows that integrate tasks like database queries and inventory checks. It also offers seamless API integration with existing GPT applications and platforms like Discord, Slack, and Telegram using OpenAI-aligned APIs.Starting Price: $0.37 per month -
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AnswerBank
AnswerBank
AnswerBank is RAG software that lets organizations generate AI answers from their documents — then selectively publish curated responses as public pages with images and text-to-speech. Query your documents inside a private RAG environment designed for document security and controlled access. Your data stays protected while you gain AI-powered insights. From there, you can safely share selected excerpts as public views, summaries, or audio — without exposing your underlying documents. Not only can you offer customer-facing chat, you can publish an FAQ, a newsletter, or even a podcast, all from your private documents and without sacrificing their security. Domain-level access control. Public-facing bot pages. AI-generated audio. Embeddable routes. Zero exposure of source files. AnswerBank.Starting Price: $29/month/tenant -
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Ragie
Ragie
Ragie streamlines data ingestion, chunking, and multimodal indexing of structured and unstructured data. Connect directly to your own data sources, ensuring your data pipeline is always up-to-date. Built-in advanced features like LLM re-ranking, summary index, entity extraction, flexible filtering, and hybrid semantic and keyword search help you deliver state-of-the-art generative AI. Connect directly to popular data sources like Google Drive, Notion, Confluence, and more. Automatic syncing keeps your data up-to-date, ensuring your application delivers accurate and reliable information. With Ragie connectors, getting your data into your AI application has never been simpler. With just a few clicks, you can access your data where it already lives. Automatic syncing keeps your data up-to-date ensuring your application delivers accurate and reliable information. The first step in a RAG pipeline is to ingest the relevant data. Use Ragie’s simple APIs to upload files directly.Starting Price: $500 per month -
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ApertureDB
ApertureDB
Build your competitive edge with the power of vector search. Streamline your AI/ML pipeline workflows, reduce infrastructure costs, and stay ahead of the curve with up to 10x faster time-to-market. Break free of data silos with ApertureDB's unified multimodal data management, freeing your AI teams to innovate. Set up and scale complex multimodal data infrastructure for billions of objects across your entire enterprise in days, not months. Unifying multimodal data, advanced vector search, and innovative knowledge graph with a powerful query engine to build AI applications faster at enterprise scale. ApertureDB can enhance the productivity of your AI/ML teams and accelerate returns from AI investment with all your data. Try it for free or schedule a demo to see it in action. Find relevant images based on labels, geolocation, and regions of interest. Prepare large-scale multi-modal medical scans for ML and clinical studies.Starting Price: $0.33 per hour -
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SciPhi
SciPhi
Intuitively build your RAG system with fewer abstractions compared to solutions like LangChain. Choose from a wide range of hosted and remote providers for vector databases, datasets, Large Language Models (LLMs), application integrations, and more. Use SciPhi to version control your system with Git and deploy from anywhere. The platform provided by SciPhi is used internally to manage and deploy a semantic search engine with over 1 billion embedded passages. The team at SciPhi will assist in embedding and indexing your initial dataset in a vector database. The vector database is then integrated into your SciPhi workspace, along with your selected LLM provider.Starting Price: $249 per month -
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SearchUnify
SearchUnify
SearchUnify is an enterprise Agentic AI platform that unifies enterprise knowledge and powers autonomous AI agents across the customer support lifecycle. Built on SearchUnifyFRAG™ (Federated Retrieval Augmented Generation) and Agentic RAG, it delivers contextually accurate, real-time responses across self-service, agent-assisted, and automated support workflows. Its product suite includes Cognitive Search, SearchUnifyGPT™, SUVA (Virtual Assistant), Knowbler, and Agent Helper. The Agentic AI Suite deploys eight specialized AI Agents handling case resolution, case classification, escalation management, knowledge management, case quality auditing, and L2 technical workflow automation. SearchUnify supports BYOLLM, enabling LLM flexibility without vendor lock-in, and uses Model Context Protocol (MCP) for secure enterprise integrations. A built-in governance layer provides role-based access control, PII masking, and compliance with ISO 27001, HIPAA, and SOC 2. -
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eRAG
GigaSpaces
GigaSpaces eRAG (Enterprise Retrieval Augmented Generation) is an AI-powered platform designed to enhance enterprise decision-making by enabling natural language interactions with structured data sources such as relational databases. Unlike traditional generative AI models that may produce inaccurate or "hallucinated" responses when dealing with structured data, eRAG employs deep semantic reasoning to accurately translate user queries into SQL, retrieve relevant data, and generate precise, context-aware answers. This approach ensures that responses are grounded in real-time, authoritative data, mitigating the risks associated with unverified AI outputs. eRAG seamlessly integrates with various data sources, allowing organizations to unlock the full potential of their existing data infrastructure. eRAG offers built-in governance features that monitor interactions to ensure compliance with regulations. -
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Linkup
Linkup
Linkup is an AI tool designed to enhance language models by enabling them to access and interact with real-time web content. By integrating directly with AI pipelines, Linkup provides a way to retrieve relevant, up-to-date data from trusted sources 15 times faster than traditional web scraping methods. This allows AI models to answer queries with accurate, real-time information, enriching responses and reducing hallucinations. Linkup supports content retrieval across multiple media formats including text, images, PDFs, and videos, making it versatile for a wide range of applications, from fact-checking and sales call preparation to trip planning. The platform also simplifies AI interaction with web content, eliminating the need for complex scraping setups and cleaning data. Linkup is designed to integrate seamlessly with popular LLMs like Claude and offers no-code options for ease of use.Starting Price: €5 per 1,000 queries -
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Second State
Second State
Fast, lightweight, portable, rust-powered, and OpenAI compatible. We work with cloud providers, especially edge cloud/CDN compute providers, to support microservices for web apps. Use cases include AI inference, database access, CRM, ecommerce, workflow management, and server-side rendering. We work with streaming frameworks and databases to support embedded serverless functions for data filtering and analytics. The serverless functions could be database UDFs. They could also be embedded in data ingest or query result streams. Take full advantage of the GPUs, write once, and run anywhere. Get started with the Llama 2 series of models on your own device in 5 minutes. Retrieval-argumented generation (RAG) is a very popular approach to building AI agents with external knowledge bases. Create an HTTP microservice for image classification. It runs YOLO and Mediapipe models at native GPU speed. -
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ChatRTX
NVIDIA
ChatRTX is a demo app that lets you personalize a GPT large language model (LLM) connected to your own content—docs, notes, images, or other data. Leveraging retrieval-augmented generation (RAG), TensorRT-LLM, and RTX acceleration, you can query a custom chatbot to quickly get contextually relevant answers. And because it all runs locally on your Windows RTX PC or workstation, you’ll get fast and secure results. ChatRTX supports various file formats, including text, PDF, doc/docx, JPG, PNG, GIF, and XML. Simply point the application at the folder containing your files and it'll load them into the library in a matter of seconds. ChatRTX features an automatic speech recognition system that uses AI to process spoken language and provide text responses with support for multiple languages. Simply click the microphone icon and talk to ChatRTX to get started. -
42
Steel.dev
Steel.dev
Steel is an open source browser API that lets you control fleets of browsers in the cloud. From large-scale scrape jobs to fully autonomous web agents, Steel makes it easy to run browser automation in the cloud. Spin up on-demand browser sessions with a simple API call. Built-in CAPTCHA solving that keeps your automation flowing. Simple controls to never worry about getting flagged as a bot again. The average session starts in less than 1s when the client is in the same region. Run for a minute or several hours, each session can run up to 24 hours. Save and inject cookies and local storage to pick up where you left off. Easily run your Puppeteer, Playwright, or Selenium in the cloud. Session Viewer lets you view and debug live or recorded sessions.Starting Price: $99 per month -
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LMCache
LMCache
LMCache is an open source Knowledge Delivery Network (KDN) designed as a caching layer for large language model serving that accelerates inference by reusing KV (key-value) caches across repeated or overlapping computations. It enables fast prompt caching, allowing LLMs to “prefill” recurring text only once and then reuse those stored KV caches, even in non-prefix positions, across multiple serving instances. This approach reduces time to first token, saves GPU cycles, and increases throughput in scenarios such as multi-round question answering or retrieval augmented generation. LMCache supports KV cache offloading (moving cache from GPU to CPU or disk), cache sharing across instances, and disaggregated prefill, which separates the prefill and decoding phases for resource efficiency. It is compatible with inference engines like vLLM and TGI and supports compressed storage, blending techniques to merge caches, and multiple backend storage options.Starting Price: Free -
44
BGE
BGE
BGE (BAAI General Embedding) is a comprehensive retrieval toolkit designed for search and Retrieval-Augmented Generation (RAG) applications. It offers inference, evaluation, and fine-tuning capabilities for embedding models and rerankers, facilitating the development of advanced information retrieval systems. The toolkit includes components such as embedders and rerankers, which can be integrated into RAG pipelines to enhance search relevance and accuracy. BGE supports various retrieval methods, including dense retrieval, multi-vector retrieval, and sparse retrieval, providing flexibility to handle different data types and retrieval scenarios. The models are available through platforms like Hugging Face, and the toolkit provides tutorials and APIs to assist users in implementing and customizing their retrieval systems. By leveraging BGE, developers can build robust and efficient search solutions tailored to their specific needs.Starting Price: Free -
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LlamaIndex
LlamaIndex
LlamaIndex is a “data framework” to help you build LLM apps. Connect semi-structured data from API's like Slack, Salesforce, Notion, etc. LlamaIndex is a simple, flexible data framework for connecting custom data sources to large language models. LlamaIndex provides the key tools to augment your LLM applications with data. Connect your existing data sources and data formats (API's, PDF's, documents, SQL, etc.) to use with a large language model application. Store and index your data for different use cases. Integrate with downstream vector store and database providers. LlamaIndex provides a query interface that accepts any input prompt over your data and returns a knowledge-augmented response. Connect unstructured sources such as documents, raw text files, PDF's, videos, images, etc. Easily integrate structured data sources from Excel, SQL, etc. Provides ways to structure your data (indices, graphs) so that this data can be easily used with LLMs. -
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Agent Search on Gemini Enterprise Agent Platform is a powerful solution designed to deliver Google-quality search experiences using enterprise data. It enables developers to build advanced search systems for websites, structured datasets, and unstructured content quickly and efficiently. The platform enhances traditional keyword search by introducing conversational, generative AI-powered search capabilities. It also serves as an out-of-the-box retrieval augmented generation (RAG) system, improving the accuracy and relevance of AI-generated responses. Agent Search simplifies complex processes like data ingestion, indexing, and retrieval into a streamlined workflow. It supports industry-specific use cases, including healthcare, media, and commerce, with tailored search capabilities. Developers can further customize solutions using APIs for embeddings, ranking, and grounded generation. Overall, it helps organizations transform how users discover and interact with information.
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Llama 3.3
Meta
Llama 3.3 is the latest iteration in the Llama series of language models, developed to push the boundaries of AI-powered understanding and communication. With enhanced contextual reasoning, improved language generation, and advanced fine-tuning capabilities, Llama 3.3 is designed to deliver highly accurate, human-like responses across diverse applications. This version features a larger training dataset, refined algorithms for nuanced comprehension, and reduced biases compared to its predecessors. Llama 3.3 excels in tasks such as natural language understanding, creative writing, technical explanation, and multilingual communication, making it an indispensable tool for businesses, developers, and researchers. Its modular architecture allows for customizable deployment in specialized domains, ensuring versatility and performance at scale.Starting Price: Free -
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Teammately
Teammately
Teammately is an autonomous AI agent designed to revolutionize AI development by self-iterating AI products, models, and agents to meet your objectives beyond human capabilities. It employs a scientific approach, refining and selecting optimal combinations of prompts, foundation models, and knowledge chunking. To ensure reliability, Teammately synthesizes fair test datasets and constructs dynamic LLM-as-a-judge systems tailored to your project, quantifying AI capabilities and minimizing hallucinations. The platform aligns with your goals through Product Requirement Docs (PRD), enabling focused iteration towards desired outcomes. Key features include multi-step prompting, serverless vector search, and deep iteration processes that continuously refine AI until objectives are achieved. Teammately also emphasizes efficiency by identifying the smallest viable models, reducing costs, and enhancing performance.Starting Price: $25 per month -
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Ferret
Apple
An End-to-End MLLM that Accept Any-Form Referring and Ground Anything in Response. Ferret Model - Hybrid Region Representation + Spatial-aware Visual Sampler enable fine-grained and open-vocabulary referring and grounding in MLLM. GRIT Dataset (~1.1M) - A Large-scale, Hierarchical, Robust ground-and-refer instruction tuning dataset. Ferret-Bench - A multimodal evaluation benchmark that jointly requires Referring/Grounding, Semantics, Knowledge, and Reasoning.Starting Price: Free -
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Nuclia
Nuclia
The AI search engine delivers the right answers from your text, documents and video. Get 100% out-of-the-box AI search and generative answers from your documents, texts, and videos while keeping your data privacy intact. Nuclia automatically indexes your unstructured data from any internal and external source, providing optimized search results and generative answers. It can handle video and audio transcription, image content extraction, and document parsing. Allow your users to search your data not only by keywords but also using natural language, in almost any language, and get the right answers. Effortlessly generate AI search results and answers from any data source. Use our low-code web component to integrate Nuclia’s AI-powered search in any application or use our open SDK to create your own front-end. Integrate Nuclia in your application in less than a minute. Choose the way to upload data to Nuclia from any source, in any language, in almost any format.
