emarco177/documentation-helper
quality grade C, 57 out of 100Reference implementation of a RAG-based documentation helper using LangChain, Pinecone, and Tavily..
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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Retrieval-augmented generation, document Q&A, knowledge graphs and memory systems.
Signals: rag, retrieval-augmented-generation, llamaindex, knowledge-graph, question-answering, chat-with-documents, graphrag, memory
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Reference implementation of a RAG-based documentation helper using LangChain, Pinecone, and Tavily..
Chat with documents (pdf, docx, txt) using ChatGPT and Langchain
A managed RAG API server.
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本项目是针对RAG中的Retrieve阶段的召回技术及算法效果所做评估实验。使用主体框架为LlamaIndex.
RAG-VectorDB-Embedings-LlamaIndex-Langchain
Pharos — local-first agentic RAG for your team's document library: multi-format ingest, hybrid retrieval, enterprise ACL, dual HTTP + MCP exits.
Long-term memory layer for OpenClaw & MoltBook agents that learns and recalls your project context automatically.
Open-source, free, multi-platform, one-click deploy, AI Agent–integrated personal bookmarking system|完全开源、免费、多端、一键部署、AI Agent 集成的个人收藏夹系统
9 Different Ways to Optimize AI Agent Memories
A filesystem designed for agents, with SOTA retrieval, automatic memory profiles, sync engine. Drop any file type (pdf, images, videos), and grep through them.
Rust implementation of a codebase context engine that enables AI assistants to search and understand codebases using natural language queries.
🤖 An open-source AI assistant answering questions using your docs
React component for RAG-enabled AI Assistant
ChatClaw: Get OpenClaw-like knowledge base personal AI agent in 5 mins. Sandbox-secured, ultra-small 30MB installer for macOS & Windows (install in 1 min). Connects to WhatsApp, Telegram, Slack, Discord, Gmail, DingTalk, WeChat Work, QQ, Feishu. Built-in Skill Market, Knowledge Base, Memory, MCP, Scheduled Tasks. Developed in Go ,run
A copilot sample that uses python to ground the copilot responses in company data.
Tree-sitter-powered code indexing server that gives LLM agents precise, on-demand access to symbols, implementations, callers, tests, and grep across multi-language projects - so they explore codebases through targeted queries instead of loading everything into context.
🔍 DiscovAI-Search: An AI-powered search engine for AI tools and custom data. Built with Next.js, OpenAI, Supabase, and more. Features vector-based search, Redis caching, and LLM-powered responses.
Chrome Extension to Summarize or Chat with Web Pages/Local Documents Using locally running LLMs. Keep all of your data and conversations private. 🔐
SUQL: Conversational Search over Structured and Unstructured Data with LLMs
Local LLM Powered Recursive Search & Smart Knowledge Explorer
Question Answering with Custom FIles using LLMs
LLM Models and RAG Hands-on guide
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