Alternatives to Vedana
Compare Vedana alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Vedana in 2026. Compare features, ratings, user reviews, pricing, and more from Vedana competitors and alternatives in order to make an informed decision for your business.
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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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Lucy
Lucy
Lucy's AI-powered knowledge management makes it easy to find what you need to know when you need to know it. She reads and learns all of your organization's accumulated knowledge from the places it lives. She reads and understands written reports, PPTs, PDFs, graphs, videos, and audios. She connects to third-party data sources for their insights. Lucy's integration with Slack and Microsoft Teams makes it easy for members of your team to ask questions that can be answered from your accumulated knowledge. Ask her what you are looking for, and she will help you find the answer, and she identifies other possible answers if you need a different level of insight. Lucy will read and absorb every piece of information you want her to when she joins your team. Lucy never leaves, never forgets, and is gets smarter every day. -
3
Pinecone
Pinecone
The AI Knowledge Platform. The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Developer-friendly, fully managed, and easily scalable without infrastructure hassles. Once you have vector embeddings, manage and search through them in Pinecone to power semantic search, recommenders, and other applications that rely on relevant information retrieval. Ultra-low query latency, even with billions of items. Give users a great experience. Live index updates when you add, edit, or delete data. Your data is ready right away. Combine vector search with metadata filters for more relevant and faster results. Launch, use, and scale your vector search service with our easy API, without worrying about infrastructure or algorithms. We'll keep it running smoothly and securely. -
4
Find specific answers and trends from documents and websites using search powered by AI. Watson Discovery is AI-powered search and text-analytics that uses innovative, market-leading natural language processing to understand your industry’s unique language. It finds answers in your content fast and uncovers meaningful business insights from your documents, webpages and big data, cutting research time by more than 75%. Semantic search is much more than keyword search. Unlike traditional search engines, when you ask a question, Watson Discovery adds context to the answer. It quickly combs through content in your connected data sources, pinpoints the most relevant passage and provides the source documents or webpage. A next-level search experience with natural language processing that makes all necessary information easily accessible. Use machine learning to visually label text, tables and images, while surfacing the most relevant results.Starting Price: $500 per month
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5
txtai
NeuML
txtai is an all-in-one open source embeddings database designed for semantic search, large language model orchestration, and language model workflows. It unifies vector indexes (both sparse and dense), graph networks, and relational databases, providing a robust foundation for vector search and serving as a powerful knowledge source for LLM applications. With txtai, users can build autonomous agents, implement retrieval augmented generation processes, and develop multi-modal workflows. Key features include vector search with SQL support, object storage integration, topic modeling, graph analysis, and multimodal indexing capabilities. It supports the creation of embeddings for various data types, including text, documents, audio, images, and video. Additionally, txtai offers pipelines powered by language models that handle tasks such as LLM prompting, question-answering, labeling, transcription, translation, and summarization.Starting Price: Free -
6
GraphDB
Ontotext
*GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs.* GraphDB is a highly efficient and robust graph database with RDF and SPARQL support. The GraphDB database supports a highly available replication cluster, which has been proven in a number of enterprise use cases that required resilience in data loading and query answering. If you need a quick overview of GraphDB or a download link to its latest releases, please visit the GraphDB product section. GraphDB uses RDF4J as a library, utilizing its APIs for storage and querying, as well as the support for a wide variety of query languages (e.g., SPARQL and SeRQL) and RDF syntaxes (e.g., RDF/XML, N3, Turtle). -
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Oracle AI Vector Search
Oracle
Oracle AI Vector Search is a capability within Oracle Database designed for AI workloads that enables querying data based on semantics or meaning rather than traditional keyword matching. It allows organizations to search both structured and unstructured data using similarity search, making it possible to retrieve results based on contextual relevance instead of exact values. It uses vector embeddings to represent data such as text, images, or documents, and applies specialized vector indexes and distance functions to efficiently identify similar items. It introduces a native VECTOR data type, along with SQL operators and syntax that allow developers to combine semantic search with relational queries on business data in a single database environment. This eliminates the need for separate vector databases and reduces data fragmentation by keeping AI and operational data unified. -
8
Dgraph
Hypermode
Dgraph is an open source, low-latency, high throughput, native and distributed graph database. Designed to easily scale to meet the needs of small startups as well as large companies with massive amounts of data, DGraph can handle terabytes of structured data running on commodity hardware with low latency for real time user queries. It addresses business needs and uses cases involving diverse social and knowledge graphs, real-time recommendation engines, semantic search, pattern matching and fraud detection, serving relationship data, and serving web apps. -
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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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ArangoDB
ArangoDB
Natively store data for graph, document and search needs. Utilize feature-rich access with one query language. Map data natively to the database and access it with the best patterns for the job – traversals, joins, search, ranking, geospatial, aggregations – you name it. Polyglot persistence without the costs. Easily design, scale and adapt your architectures to changing needs and with much less effort. Combine the flexibility of JSON with semantic search and graph technology for next generation feature extraction even for large datasets. -
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Asimov
Asimov
Asimov is a foundational AI-search and vector-search platform built for developers to upload content sources (documents, logs, files, etc.), auto-chunk and embed them, and expose them via a single API to power semantic search, filtering, and relevance for AI agents or applications. It removes the burden of managing separate vector-databases, embedding pipelines, or re-ranking systems by handling ingestion, metadata parameterization, usage tracking, and retrieval logic within a unified architecture. With support for adding content via a REST API and performing semantic search queries with custom filtering parameters, Asimov enables teams to build “search-across-everything” functionality with minimal infrastructure. It is designed to handle metadata, automatic chunking, embedding, and storage (e.g., into MongoDB) and provides developer-friendly tools, including a dashboard, usage analytics, and seamless integration.Starting Price: $20 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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Embedditor
Embedditor
Improve your embedding metadata and embedding tokens with a user-friendly UI. Seamlessly apply advanced NLP cleansing techniques like TF-IDF, normalize, and enrich your embedding tokens, improving efficiency and accuracy in your LLM-related applications. Optimize the relevance of the content you get back from a vector database, intelligently splitting or merging the content based on its structure and adding void or hidden tokens, making chunks even more semantically coherent. Get full control over your data, effortlessly deploying Embedditor locally on your PC or in your dedicated enterprise cloud or on-premises environment. Applying Embedditor advanced cleansing techniques to filter out embedding irrelevant tokens like stop-words, punctuations, and low-relevant frequent words, you can save up to 40% on the cost of embedding and vector storage while getting better search results. -
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NeuraVid
NeuraVid
NeuraVid is an AI-powered video analysis platform designed to transform video content into actionable insights. It offers advanced transcription services with industry-leading accuracy, converting speech to text while identifying multiple speakers and providing word-level timestamps. It supports over 40 languages, ensuring accessibility for a global audience. NeuraVid's AI-powered semantic search enables users to find specific moments within videos instantly, looking beyond exact matches to locate contextually relevant content. Additionally, it automatically generates smart chapters and concise summaries, facilitating effortless navigation through lengthy videos. NeuraVid also features an AI video assistant that allows users to interact with their videos, obtaining insights, summaries, and answers to questions about the content in real time.Starting Price: $19 per month -
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Curiosity
Curiosity
Curiosity is the context graph for industrial AI. It connects the knowledge spread across an organization's files, messages, wikis, ticketing systems and databases into a single graph that teams can search, explore and put to work with AI. Most search tools treat each document in isolation. Curiosity keeps the relationships between records intact, so a part, a supplier, a ticket and a field report stay linked. Search returns answers with that context attached, and every answer carries a clear trail back to the source. It holds data in memory, so results return as you type across structured and unstructured sources, and connects to systems such as network drives, SharePoint, Jira and ServiceNow without moving your data. Curiosity runs on your own infrastructure for data privacy, respects your existing permissions and combines your knowledge graph with the AI models you choose. Built for industrial enterprises that need trustworthy answers from complex, connected data.Starting Price: €500/month -
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PuppyGraph
PuppyGraph
PuppyGraph empowers you to seamlessly query one or multiple data stores as a unified graph model. Graph databases are expensive, take months to set up, and need a dedicated team. Traditional graph databases can take hours to run multi-hop queries and struggle beyond 100GB of data. A separate graph database complicates your architecture with brittle ETLs and inflates your total cost of ownership (TCO). Connect to any data source anywhere. Cross-cloud and cross-region graph analytics. No complex ETLs or data replication is required. PuppyGraph enables you to query your data as a graph by directly connecting to your data warehouses and lakes. This eliminates the need to build and maintain time-consuming ETL pipelines needed with a traditional graph database setup. No more waiting for data and failed ETL processes. PuppyGraph eradicates graph scalability issues by separating computation and storage.Starting Price: Free -
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deepset
deepset
Build a natural language interface for your data. NLP is at the core of modern enterprise data processing. We provide developers with the right tools to build production-ready NLP systems quickly and efficiently. Our open-source framework for scalable, API-driven NLP application architectures. We believe in sharing. Our software is open source. We value our community, and we make modern NLP easily accessible, practical, and scalable. Natural language processing (NLP) is a branch of AI that enables machines to process and interpret human language. In general, by implementing NLP, companies can leverage human language to interact with computers and data. Areas of NLP include semantic search, question answering (QA), conversational AI (chatbots), semantic search, text summarization, question generation, text generation, machine translation, text mining, speech recognition, to name a few use cases. -
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Memgraph
Memgraph
Memgraph is a high-performance, in-memory graph database that powers real-time AI context. It serves as the graph engine for GraphRAG pipelines, AI memory systems, and agentic workflows - delivering sub-millisecond multi-hop traversals with full provenance for any system that needs structured, connected context alongside semantic search. The same architecture that makes Memgraph the context layer for AI also drives real-time graph analytics across fraud detection, network analysis, infrastructure monitoring, and other operational use cases where speed and connectivity matter. -
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GraphAware
GraphAware
GraphAware offers Hume, a connected data analytics and intelligence analysis platform powered by graph technology that transforms siloed structured and unstructured data into an interconnected network for deeper insight and decision-making. At its core, Hume uses knowledge graph and graph database principles to ingest, unify, and represent data as networks of nodes and relationships, enabling analysts and data scientists to intuitively navigate, query, and visualize multi-hop connections and hidden patterns without needing to learn complex query languages. It delivers a single view of truth across disparate data sources, accelerates discovery of hidden relationships and behavior patterns, and supports advanced graph data science, including node influence analysis, link prediction, community detection, and automated alerting through integrated machine learning and large language model (LLM) features. -
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Ducky
Ducky
Ducky is an AI search platform that lets teams add powerful search to their products in minutes. It handles the full AI search pipeline, eliminating the need to build and maintain complex infrastructure. The platform supports multimodal search across text, images, and PDFs with high accuracy. Automated chunking, ranking, and reranking ensure the most relevant results surface first. Advanced metadata filtering enables precise and flexible search experiences. Ducky improves automatically over time without manual training or tuning. It helps teams ship AI-powered features faster while reducing development and operational overhead. -
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Constellation
ShiftinBits Inc
Graph-backed code intelligence for your AI assistant. Constellation turns your codebase into a queryable knowledge graph, giving AI assistants the structural understanding they need to reason about real software — not just the plain text. Why Constellation? Text search tells you where a string appears, *everywhere* that string appears. Constellation tells you the exact location of the symbol in question, what it means, what calls it, and what breaks if you change it. Before your assistant edits a function, it can ask: - Where is this defined, and where is it used across the codebase? - What's the blast radius of this change? - Which modules have circular dependencies or dead code? - How does data flow through the call graph? Answers come from a semantic graph, not a grep loop. One Tool, Countless Capabilities A single `code_intel` tool exposes a rich JavaScript API as a "Code Mode" tool, allowing AI agents to craft complex composite queries.Starting Price: $29.99/month -
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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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Cayley
Cayley
Cayley is an open-source database for Linked Data. It is inspired by the graph database behind Google's Knowledge Graph (formerly Freebase). Cayley is an open-source graph database designed for ease of use and storing complex data. Built-in query editor, visualizer and REPL. Cayley can use multiple query languages like Gizmo, a query language inspired by Gremlin, GraphQL-inspired query language, MQL a simplified version for Freebase fans. Cayley is modular, easy to connect to your favorite programming languages and back-end stores, production ready, well tested and used by various companies for their production workloads and fast with optimized specifically for usage in applications. Rough performance testing shows that, on 2014 consumer hardware and an average disk, 134m quads in LevelDB is no problem and a multi-hop intersection query- films starring X and Y - takes ~150ms. Cayley is configured by default to run in memory (That's what backend memstore means). -
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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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Voyage AI
MongoDB
Voyage AI provides best-in-class embedding models and rerankers designed to supercharge search and retrieval for unstructured data. Its technology powers high-quality Retrieval-Augmented Generation (RAG) by improving how relevant context is retrieved before responses are generated. Voyage AI offers general-purpose, domain-specific, and company-specific models to support a wide range of use cases. The models are optimized for accuracy, low latency, and reduced costs through shorter vector dimensions. With long-context support of up to 32K tokens, Voyage AI enables deeper understanding of complex documents. The platform is modular and integrates easily with any vector database or large language model. Voyage AI is trusted by industry leaders to deliver reliable, factual AI outputs at scale. -
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Inbenta Search
Inbenta
Deliver more accurate results through Inbenta Semantic Search Engine’s ability to understand the meaning of customer queries. While the search engine is the most widespread self-service tool on web pages with 85% of sites having one, the ability to serve up the most relevant information could be the difference between a good or poor onsite customer experience. Inbenta Search pulls data from across your customer relationship tools, such as Salesforce.com and Zendesk, as well as other designated websites. The Inbenta Symbolic AI and Natural Language Processing technology enable the semantic Inbenta Search to understand customers’ questions, quickly deliver the most relevant answers, and reduce on your support costs. Using Inbenta Symbolic AI technology also means that there is no need for lengthy data training, which allows you to quickly and easily deploy and benefit from the Inbenta Search engine tool. -
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Queryra
Queryra
Queryra is an AI-powered semantic search plugin for WordPress and WooCommerce. It replaces default keyword matching with intelligent search that understands what customers mean. When someone searches "gift for dad who likes gardening", default WooCommerce search returns 0 results. Queryra finds garden gloves, plant pots, and seed kits — even without exact keyword matches. How it works: Your products are converted into AI embeddings. When customers search, their query is understood semantically and matched by meaning, not just keywords. Key features: - AI semantic search trained on YOUR products, not generic ChatGPT - No OpenAI API key needed — everything included - WooCommerce support: SKU, price, categories, tags, attributes - Smart product boost controls for high-margin items - Live AJAX search with instant suggestions - Auto-sync when products are published - 5-minute setup with guided wizardStarting Price: $9/month -
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Substrate
Substrate
Substrate is the platform for agentic AI. Elegant abstractions and high-performance components, optimized models, vector database, code interpreter, and model router. Substrate is the only compute engine designed to run multi-step AI workloads. Describe your task by connecting components and let Substrate run it as fast as possible. We analyze your workload as a directed acyclic graph and optimize the graph, for example, merging nodes that can be run in a batch. The Substrate inference engine automatically schedules your workflow graph with optimized parallelism, reducing the complexity of chaining multiple inference APIs. No more async programming, just connect nodes and let Substrate parallelize your workload. Our infrastructure guarantees your entire workload runs in the same cluster, often on the same machine. You won’t spend fractions of a second per task on unnecessary data roundtrips and cross-region HTTP transport.Starting Price: $30 per month -
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Quillo
Quillo
Quillo unlocks your data's potential. Effortlessly transform data into dynamic knowledge graphs and then use it to craft content, that's uniquely you backed by your knowledge. In a sea of sameness brimming with AI-spitted content, your authentic knowledge is your power. Craft content that's uniquely you. Import your tweets, YouTube videos, documents & saved URLs. Watch as your content takes on a new dimension. AI-enhanced, context-aware content. From writing assistance to a co-pilot, explore a world of use cases. From writing assistance to a personal chatbot, explore a world of use cases. Let your unique knowledge unlock your creative potential. Get a knowledge graph auto-created on all the data you ingest. No more summarising and linking content on markdown. We will transform your data and create a knowledge graph. We guide you through the essentials and handle the rest. Pull in all the data you want to use, and then we’ll inform you once the playground is ready. -
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LupaSearch
LupaSearch
LupaSearch is an advanced AI-driven search and discovery platform designed to enhance user experiences. Our engineers have developed cutting-edge technology that combines powerful natural language processing, vector search, and advanced keyword matching in one seamless API. The stats are in our favor: we boast a 100% client retention rate, and our search speed is a significant improvement over industry standards, ranging from 60-250ms. At LupaSearch, we put skin in the game by committing to contracts that align with our clients' goals, ensuring we deliver measurable results. LupaSearch handles millions of search requests globally with exceptional speed and accuracy, empowering businesses to deliver precise and scalable search experiences.Starting Price: $200/month -
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Graphlytic
Demtec
Graphlytic is a customizable web platform for knowledge graph visualization and analysis. Users can interactively explore the graph, look for patterns with the Cypher or Gremlin query languages (or query templates for non-tech users), or use filters to find the answers to any graph question. The graph visualization brings deep insights in industries, such as scientific research, anti-fraud investigation, etc. Users with very little graph theory knowledge can start to explore the data in no time. Graph rendering is done with the Cytoscape.js library which allows us to render tens of thousands of nodes and hundreds of thousands of relationships. The application is provided in three ways: Desktop, Cloud, and Server. Graphlytic Desktop is a free Neo4j Desktop application installed in just a few clicks. Cloud instances are ideal for small teams that don't want to worry about the installation and need to get up and running in very little time.Starting Price: 19 EUR/month -
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Patrivox
Patrivox
Patrivox is a European cloud platform that transforms collections of PDF documents and scanned archives into a fully searchable, AI-powered knowledge base. It allows organizations to upload large numbers of documents, individually or in bulk, and automatically processes them using advanced optical character recognition and artificial intelligence to extract text and identify important entities such as people, places, and organizations mentioned in the documents. Once processed, the platform enriches documents with metadata and links them together in an interactive knowledge graph, revealing relationships between historical records that would otherwise remain hidden. Users can explore their archives through instant full-text search with typo tolerance, advanced filters such as date or document type, or by asking natural-language questions through an AI chat interface that returns answers with exact source citations.Starting Price: €29 per month -
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Figmap
Figmap.ai
Figmap.ai is an innovative AI-powered learning platform that transforms complex topics into clear, visual roadmaps through interactive mind maps and knowledge graphs. Our platform leverages AI technology to create personalized learning paths, making knowledge acquisition more efficient and engaging through visual exploration. By combining WikiGraphs, AI-powered explanations, and curated resources, Figmap revolutionizes the learning experience by making complex subjects approachable and interconnected. -
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3RDi Search
The Digital Group
Welcome to the era of Big Data where data-driven insights have the power to transform your business. You're about to discover the solution: a powerful, innovative and adaptive platform power packed with every feature you need for Search, Discovery & Analytics of your data. We have named it 3RDi "Third Eye". It's the semantic search engine your enterprise needs to help you take action, boost revenues and cut costs! Powered by NLP and semantic search, it is designed for multidimensional information analysis and easy search relevancy management. Discover the comprehensive scalable platform for every challenge in search & text mining, from management and exploitation of unstructured content to deriving deeper actionable insights that boost your business. 3RDi isn't merely a search solution. It is a comprehensive stack of solutions for text mining, enterprise search, content integration, governance, analytics and much more. -
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Oracle Spatial and Graph
Oracle
Graph databases, part of Oracle’s converged database offering, eliminate the need to set up a separate database and move data. Analysts and developers can perform fraud detection in banking, find connections and link to data, and improve traceability in smart manufacturing, all while gaining enterprise-grade security, ease of data ingestion, and strong support for data workloads. Oracle Autonomous Database includes Graph Studio, with one-click provisioning, integrated tooling, and security. Graph Studio automates graph data management and simplifies modeling, analysis, and visualization across the graph analytics lifecycle. Oracle provides support for both property and RDF knowledge graphs, and simplifies the process of modeling relational data as graph structures. Interactive graph queries can run directly on graph data or in a high-performance in-memory graph server. -
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MS0 Reverse
MilestoneZero
MS0 Reverse transforms legacy code from a liability into a strategic asset with AI-powered analysis and intelligence that extracts business logic, preserves institutional knowledge, and makes complex systems understandable before teams decide whether to maintain, refactor, or modernize. Its approach focuses on intelligence first; understand the system, then decide what to do with confidence. It delivers a governed knowledge infrastructure through an interconnected knowledge graph that maps the system’s complete operational reality, including data flows, business logic, dependencies, and cross-program relationships. Developers, analysts, architects, executives, compliance teams, product owners, and portfolio managers can all explore the same systems through natural language, receiving answers grounded in the same governed knowledge layer. MS0 Reverse provides open infrastructure through APIs and MCP connectors, enabling custom tools, partner extensions, and more. -
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Parallel
Parallel
The Parallel Search API is a web-search tool engineered specifically for AI agents, designed from the ground up to provide the most information-dense, token-efficient context for large-language models and automated workflows. Unlike traditional search engines optimized for human browsing, this API supports declarative semantic objectives, allowing agents to specify what they want rather than merely keywords. It returns ranked URLs and compressed excerpts tailored for model context windows, enabling higher accuracy, fewer search steps, and lower token cost per result. Its infrastructure includes a proprietary crawler, live-index updates, freshness policies, domain-filtering controls, and SOC 2 Type 2 security compliance. The API is built to fit seamlessly within agent workflows: developers can control parameters like maximum characters per result, select custom processors, adjust output size, and orchestrate retrieval directly into AI reasoning pipelines.Starting Price: $5 per 1,000 requests -
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eccenca Corporate Memory
eccenca
eccenca Corporate Memory provides a multi-disciplinary integrative platform for managing rules, constraints, capabilities, configurations, and data in a single application. Overcoming the limitations of traditional, application-centric (meta) data management models, its semantic knowledge graph is both highly extensible, integrative as well as interpretable both by machines and business users. The enterprise knowledge graph platform re-establishes global data transparency in enterprises as well as line-of-business ownership in a complex and dynamic data environment. It enables you to drive agility, autonomy, and automation without disrupting existing IT infrastructures. Corporate Memory integrates and links data from any source in a central knowledge graph. Use user-friendly SPARQL and JSON-LD frames to explore your global data landscape. The data management in the enterprise knowledge graph platform is implemented by HTTP identifiers and metadata. -
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Bloomreach
Bloomreach
Bloomreach personalizes the e-commerce experience. Its data engine unifies real-time customer and product data so businesses understand what customers really want. By connecting that understanding to every channel, the e-commerce experience becomes limitless — reflecting a changing customer as they shop. Amplified by the speed and scale of Loomi, Bloomreach's AI for e-commerce, this creates endless new paths to purchase. Bloomreach products include: Engagement, a marketing automation platform; Discovery, an e-commerce search solution; Content, a headless CMS; and Clarity, AI-powered conversational shopping. The company has multiple AI patents and serves global brands that include Williams-Sonoma, Bosch, Puma, and Marks & Spencer. -
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Rinalogy Search
Rinalogy
Almost any search query applied to Big Data returns a very large number of results that are often practically impossible to review. Every user has specific needs. Finding information based on a user query and general data statistics does not produce useful results. eDiscovery, healthcare, financial services, crime, consulting, academia and other fields need to be able to quickly find accurate information. Rinalogy Search is a next generation search tool that uses machine learning to interactively learn from each user to return personalized results based on user’s feedback in real time. Rinalogy Search returns relevancy scores for individual documents in the results for each query. Rinalogy Search can be deployed in clients’ IT infrastructure, close to your data and behind your firewall. Rinalogy allows users to define the level of importance of search concepts by assigning weights to them, which helps finding the results You are looking for.Starting Price: $50 per month -
41
Hyperspell
Hyperspell
Hyperspell is an end-to-end memory and context layer for AI agents that lets you build data-powered, context-aware applications without managing the underlying pipeline. It ingests data continuously from user-connected sources (e.g., drive, docs, chat, calendar), builds a bespoke memory graph, and maintains context so future queries are informed by past interactions. Hyperspell supports persistent memory, context engineering, and grounded generation, producing structured or LLM-ready summaries from the memory graph. It integrates with your choice of LLM while enforcing security standards and keeping data private and auditable. With one-line integration and pre-built components for authentication and data access, Hyperspell abstracts away the work of indexing, chunking, schema extraction, and memory updates. Over time, it “learns” from interactions; relevant answers reinforce context and improve future performance. -
42
Yext
Yext
Yext (NYSE: YEXT) helps organizations answer every question about their business. Yext's Answers Platform collects and organizes content into a Knowledge Graph, then leverages a complementary set of products — including Listings, Pages, Reviews, and Search — to deliver relevant, actionable answers wherever customers, employees, and partners look for information. For over 15 years, thousands of companies worldwide have trusted Yext to create seamless content-driven experiences at scale across search engines, websites, mobile apps, and hundreds of other digital touchpoints. Learn more at yext.com. -
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AllegroGraph
Franz Inc.
AllegroGraph is a breakthrough solution that allows infinite data integration through a patented approach unifying all data and siloed knowledge into an Entity-Event Knowledge Graph solution that can support massive big data analytics. AllegroGraph utilizes unique federated sharding capabilities that drive 360-degree insights and enable complex reasoning across a distributed Knowledge Graph. AllegroGraph provides users with an integrated version of Gruff, a unique browser-based graph visualization software tool for exploring and discovering connections within enterprise Knowledge Graphs. Franz’s Knowledge Graph Solution includes both technology and services for building industrial strength Entity-Event Knowledge Graphs based on best-of-class tools, products, knowledge, skills and experience. -
44
Vantage Discovery
Vantage Discovery
Vantage Discovery is a generative AI-powered SaaS platform that enables intelligent search, discovery, and personalized recommendations so retailers can deliver breathtaking user experiences. Harness the power of generative AI to create semantic search, product discovery experiences, and personalized recommendations. Transform your search capabilities from keyword-based to natural language semantic search where your user's meaning, intent, and context are understood and used to deliver exceptional experiences. Create completely new and delightful discovery experiences for your users based on their interests, preferences, intent, and your company's merchandising goals. Deliver the most personalized and targeted results across millions of items in milliseconds utilizing a semantic understanding of the user's query and personal style. Deliver delightful user experiences with powerful features delivered by simple APIs. -
45
Microsoft Purview
Microsoft
Microsoft Purview is a unified data governance service that helps you manage and govern your on-premises, multicloud, and software-as-a-service (SaaS) data. Easily create a holistic, up-to-date map of your data landscape with automated data discovery, sensitive data classification, and end-to-end data lineage. Empower data consumers to find valuable, trustworthy data. Automated data discovery, lineage identification, and data classification across on-premises, multicloud, and SaaS sources. Unified map of your data assets and their relationships for more effective governance. Semantic search enables data discovery using business or technical terms. Insight into the location and movement of sensitive data across your hybrid data landscape. Establish the foundation for effective data usage and governance with Purview Data Map. Automate and manage metadata from hybrid sources. Classify data using built-in and custom classifiers and Microsoft Information Protection sensitivity labels.Starting Price: $0.342 -
46
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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Merciv
Merciv
Merciv is the consumer intelligence platform that connects your internal data and the external world into one living, cited source of truth — so teams can answer any question about their consumers and brand in minutes. Merciv unifies four knowledge sources: internal knowledge (research, decks, spreadsheets, and systems like Snowflake, Looker, and SharePoint), external signals (social, reviews, search and trend data, competitive activity, pricing), syndicated data (NielsenIQ, Circana, Mintel), and Merciv-owned product and category data. A knowledge graph, hybrid retrieval, and code execution for spreadsheets power accurate, source-backed answers. Teams use Merciv for consumer perception, SKU-level sentiment and complaint analysis, competitive intelligence, trend monitoring, deep research, data-grounded personas, and decision-ready reports, briefs, and decks. Every answer is cited, permission-aware, and auditable: SOC 2 Type II, tenant isolation, zero-training, SSO/SCIM. -
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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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Repustate
Repustate
Repustate provides world-class AI-powered semantic search, sentiment analysis and text analytics for organizations globally. It gives businesses the capability to decode terabytes of information and discover valuable, actionable, business insights more astutely than ever. From our esteemed clients in the Healthcare industry, to recognised leaders in Education, Banking or Governance, Repustate provides continuous deep dives into complex integrated data across industries. Our solution drives sentiment analysis and text analytics for social media listening, Voice of Customer (VOC), and video content analysis (VCA) across platforms. It encompasses the plethora of slangs, emojis and acronyms superseding the rules of formal language in social media. Whether it’s data from Youtube, IGTV, Facebook, Twitter or TikTok, or your own customer review forums, employee surveys, or EHRs, you can identify the critical aspects of your business precisely.Starting Price: $299 per month -
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Objective
Objective
Objective is a multimodal search API that works for you, not the other way around. Objective understands your data & your users, enabling natural and relevant results. Even when your data is inconsistent or incomplete. Objective understands human language, and ‘sees’ inside images. Your web & mobile app search can understand what users mean, and even relate that to the meaning it sees in images. Objective understands the relationships between huge text articles and the parts of content in each, letting you build context-rich text search experiences. Best-in-class search comes from layering all the best search techniques. It’s not about any single approach. It’s about a curated, tight top-to-bottom integration of all the best search & retrieval techniques in the world. Evaluate search results at scale. Anton is your evaluation copilot that can judge search results with near‑human precision, available in an on‑demand API.
