Search Results for "augmented"
Sort By:
Showing 37 open source projects for "augmented"
View related business solutions-
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
1
Verba
Retrieval Augmented Generation (RAG) chatbot powered by Weaviate
Welcome to Verba: The Golden RAGtriever, a community-driven open-source application designed to offer an end-to-end, streamlined, and user-friendly interface for Retrieval-Augmented Generation (RAG) out of the box. In just a few easy steps, explore your datasets and extract insights with ease, either locally with Ollama and Huggingface or through LLM providers such as Anthrophic, Cohere, and OpenAI. This project is built with and for the community, please be aware that it might not be maintained with the same urgency as other Weaviate production applications. -
2
model-viewer
Easily display interactive 3D models on the web and in AR
Easily display interactive 3D models on the web & in AR. Use our Editor to test your 3D models and download a starter website. Generate your own 3D Twitter card for any website. :focus-visible is an as-yet unimplemented web platform feature that enables content authors to style a component on the condition that it received focus in such a way that suggests the focus state should be visibly evident. The :focus-visible capability has not been implemented in any stable browsers yet. If the... -
3
RAG Web UI
RAG Web UI is an intelligent dialogue system based on RAG
RAG Web UI is an open-source intelligent dialogue system built on retrieval-augmented generation technology, designed to enable users to create AI-powered question answering systems grounded in their own knowledge bases. It combines document retrieval with large language models to provide accurate, context-aware responses based on indexed data rather than generic model knowledge. The platform supports ingestion of multiple document formats, including PDFs, Word files, Markdown, and plain text, automatically processing and vectorizing them for efficient retrieval. ... -
4
CoStrict
Strict AI coder for enterprises, quality first
...This makes it particularly suitable for organizations that require consistency, auditability, and reliability in AI-assisted development. The system integrates repository-wide analysis using retrieval-augmented generation, allowing it to understand large codebases and provide context-aware suggestions, reviews, and modifications. It also incorporates multi-agent or multi-expert verification strategies, ensuring that generated code is validated from multiple perspectives before being accepted. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
5
Claude Context
Code search MCP for Claude Code
...The system integrates with vector databases and retrieval systems, enabling efficient storage and retrieval of contextual information. It supports workflows such as retrieval-augmented generation, where external knowledge is dynamically incorporated into model responses. The project emphasizes scalability, allowing it to handle large datasets and complex queries efficiently. It also provides tools for organizing and managing context, making it easier to maintain structured knowledge bases. Overall, Claude-context acts as a bridge between raw data and AI models, improving the relevance and accuracy of generated outputs. -
6
Scira
AI-powered search engine that helps you find information
Scira is an open source AI-powered search and research assistant designed to provide fast, conversational answers grounded in web and knowledge sources. The project combines a modern web interface with retrieval-augmented generation techniques to deliver responses that are both natural language friendly and evidence oriented. It is built for developers who want to deploy their own Perplexity-style or AI search experience without relying on proprietary hosted services. Scira emphasizes speed, clean UI design, and extensibility so teams can customize data sources, models, and ranking logic. ... -
7
Search with Lepton
Lightweight demo to build a conversational AI search engine quickly
...It combines traditional web search with large language models to provide natural language answers to user queries. It retrieves information from supported search engines and uses that context to generate responses through a retrieval-augmented generation approach. The implementation is intentionally minimal, containing fewer than 500 lines of code while still providing a complete working example of an AI-powered search system. It includes both a backend service written in Python and a web interface that allows users to interact with the search engine in a conversational format. ... -
8
DeepAudit
AI multi-agent platform for automated code security auditing system
...It also includes automated proof-of-concept validation using a sandboxed environment, allowing detected issues to be tested for real exploitability. DeepAudit integrates retrieval-augmented generation techniques to enhance contextual understanding and reduce false positives during analysis. Users can import projects and trigger a full audit workflow that includes risk identification, exploit generation, validation, and final report creation. -
9
WeKnora
LLM framework for document understanding and semantic retrieval
...It focuses on analyzing complex and heterogeneous documents by combining multiple processing stages such as multimodal document parsing, vector indexing, and intelligent retrieval. It follows the Retrieval-Augmented Generation (RAG) paradigm, where relevant document segments are retrieved and used by language models to generate accurate, context-aware responses. This approach enables the system to provide more reliable answers by grounding model reasoning in the content of uploaded documents. WeKnora is designed with a modular architecture that separates components for document processing, search strategies, and model inference, allowing developers to customize or extend different parts of the pipeline. ... -
Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
-
10
Reader LLM
Convert any URL to an LLM-friendly input with a simple prefix
...Developers can use a simple URL prefix to retrieve a version of a webpage that has been optimized for machine consumption, making it suitable for use in AI agents or retrieval-augmented generation pipelines. In addition to converting individual pages, the service can perform web searches and return relevant content that can be ingested directly by AI systems. The tool relies on specialized models and parsing techniques to handle complex HTML structures and extract meaningful content while preserving important context. -
11
AIPex
AI browser automation assistant, no migration and privacy first
AIPex is an AI-augmented development toolkit and workflow platform that aims to accelerate software productivity by integrating intelligent assistants, code generation tools, and customizable automation patterns directly into developer workflows. Rather than treating AI as a separate helper, AIPex embeds AI capabilities into common tasks like scaffolding components, generating tests, analyzing code quality, and performing refactors, allowing developers to stay in flow while benefiting from model-assisted insights. ... -
12
AWS GenAI LLM Chatbot
A modular and comprehensive solution to deploy a Multi-LLM
AWS GenAI LLM Chatbot is an enterprise-ready reference solution for deploying a secure, feature-rich generative AI chatbot on AWS with retrieval-augmented generation capabilities. The project is built as a modular blueprint that helps organizations stand up a production-oriented chat experience rather than a simple demo, combining model access, knowledge retrieval, storage, security, and user interface components into one deployable system. It supports multiple model providers and endpoints, giving teams flexibility to work with Amazon Bedrock, SageMaker-hosted models, and additional model access patterns through related integrations. ... -
13
Sim
Build, deploy, and orchestrate AI agents
...The project focuses on low-code and no-code accessibility while still supporting advanced customization through TypeScript and modern web tooling. Its architecture supports integrations with major model providers and common agent patterns such as retrieval-augmented generation and tool calling. Sim emphasizes rapid prototyping and production readiness, allowing users to design agent pipelines and scale them as needs grow. Overall, it functions as a full-stack orchestration framework for organizations building sophisticated agentic automation systems. -
14
KnowNote
A local-first AI knowledge base & NotebookLM alternative
...Unlike many NotebookLM alternatives that rely on Docker or cloud deployments, KnowNote runs natively on desktop platforms without complex setup, meaning all data stays local unless the user opts to integrate with self-managed or private LLM APIs. Its retrieval-augmented generation (RAG) system offers semantic search and traceable source references, and it supports multiple LLM providers through a flexible plugin-style provider architecture. -
15
Antigravity Kit
AI Agent templates with Skills, Agents, and Workflows
...The repository follows a clear pattern for defining agents and their behaviors, making it easier to extend with new skills or tailor existing ones to your use case. Because it’s framework-agnostic at its core, the Antigravity Kit can integrate with IDEs and other development tooling for smoother AI-augmented coding. -
16
AI PDF Chatbot LangChain
AI PDF chatbot agent built with LangChain & LangGraph
AI PDF Chatbot LangChain is a full-stack template for building conversational agents that can ingest and answer questions about PDF documents. The project demonstrates how to combine LangChain and LangGraph with a vector database to enable retrieval-augmented question answering over user-provided files. It includes both frontend and backend components, making it suitable as a production starting point rather than just a minimal demo. The system parses uploaded PDFs into document chunks, generates embeddings, and stores them for semantic retrieval during chat interactions. It also supports real-time streaming responses and configurable LLM providers, giving developers flexibility in deployment. ... -
17
React Native RAG
Private, local RAGs. Supercharge LLMs with your own knowledge base
React Native RAG is a local retrieval-augmented generation library for React Native applications. It lets mobile apps enhance language models with the user’s own knowledge base while keeping retrieval local. The library is modular, so developers can choose pieces such as LLM, embeddings, vector store, and text splitter components. It is also extensible, allowing teams to implement their own interfaces when they need custom model or storage behavior. -
18
Peta Core
Secure vault, managed runtime, audit trail, and policy-based approvals
...The project’s core role is to reduce integration friction for developers by establishing conventions and shared libraries that accelerate development in distributed, AI-augmented contexts. -
19
Generative AI Examples
Generative AI Examples is a collection of GenAI examples
...Detailed framework of composable building blocks for state-of-the-art generative AI systems including LLMs, data stores, and prompt engines. Architectural blueprints of retrieval-augmented generative AI component stack structure and end-to-end workflows. A four-step assessment for grading generative AI systems around performance, features, trustworthiness and enterprise-grade readiness. -
20
Spring AI Alibaba Examples
Spring AI Alibaba examples for building and testing AI apps
...It is designed to help developers understand core concepts, explore practical implementations, and follow best practices when building AI-powered systems using the Spring ecosystem. Each module focuses on a specific use case such as chat, image processing, audio handling, graph workflows, and retrieval-augmented generation. The examples highlight how to integrate AI models, manage prompts, handle memory, and build multi-model or multi-agent workflows. Developers can explore individual project folders for detailed instructions and implementation guidance. Spring AI Alibaba Examples also supports experimentation through playground modules and encourages contributions to expand real-world AI use cases and improve development practices. -
21
Flock
Flock is a workflow-based low-code platform for building chatbots
Flock is a workflow-based low-code platform designed for building AI applications such as chatbots, retrieval-augmented generation systems, and multi-agent workflows. The platform uses a visual workflow architecture where different nodes represent processing steps such as input processing, model inference, retrieval operations, and tool execution. Developers can connect these nodes to create complex pipelines that orchestrate multiple language models and external services. -
22
Glean
A self-hosted RSS reader and personal knowledge management tool
...With a modern responsive UI and optional admin dashboard, Glean balances readability with lightweight performance, making it suited for both individual readers and teams. Its knowledge management capabilities are augmented by features like smart filtering, “read later” queues, and future plans for AI-driven summaries and preference-based recommendations. -
23
Cognita
Open source RAG framework for building scalable modular AI apps
Cognita is an open source framework designed to help developers build, organize, and deploy Retrieval-Augmented Generation (RAG) applications in a structured and production-ready way. It addresses the gap between quick experimentation in notebooks and the complexity of deploying scalable AI systems by introducing a modular and API-driven architecture. Cognita provides reusable components such as parsers, data loaders, embedders, retrievers, and query controllers, allowing teams to customize each stage of the RAG pipeline independently. ... -
24
OpenAI Agents JS
A lightweight, powerful framework for multi-agent workflows
openai-agents-js is the JavaScript/TypeScript version of the OpenAI Agents SDK, designed to give developers a lightweight but powerful framework for building agentic workflows, voice agents, and tool-augmented LLM systems in JS/TS environments. The SDK is provider-agnostic, meaning while it’s deeply compatible with OpenAI’s APIs, you can also adapt it to use other backends or extension layers. At its core, it introduces primitives like Agents, Tools, Guardrails, and Handoffs, letting you define structured multi-agent systems in a modular way. ... -
25
MemFree
Hybrid AI Search Engine & AI Page Generator
memfree is an open source hybrid AI search engine and page generation platform designed to help users retrieve information from both personal knowledge bases and the public web through a unified interface. The project combines retrieval-augmented search with AI summarization to deliver concise answers instead of forcing users to manually sift through multiple sources. It supports multiple AI models and search providers, enabling flexible configuration depending on cost, performance, or privacy requirements. Beyond search, memfree includes an AI Page Generator that can transform text or images into production-ready frontend code using modern web stacks. ...
