Build AI-powered knowledge bases with retrieval-augmented generation (RAG) — ingest documents, search semantically, and answer questions.
Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)
Enterprise-ready vector database toolkit for building searchable knowledge bases from multiple data sources. Supports multi-project management, automatic ingestion from Confluence/JIRA/Git, intelligent file conversion (PDF/Office/images), and semantic search. Includes MCP server for seamless AI assistant integration.
⚡️AI Cloud OS: Open-source enterprise-level AI knowledge base and MCP (model-context-protocol)/A2A (agent-to-agent) management platform with admin UI, user management and Single-Sign-On⚡️, supports ChatGPT, Claude, Llama, Ollama, HuggingFace, etc., chat bot demo: https://ai.casibase.com, admin UI demo: https://ai-admin.casibase.com
ARGO is an open-source AI Agent platform that brings Local Manus to your desktop. With one-click model downloads, seamless closed LLM integration, and offline-first RAG knowledge bases, ARGO becomes a DeepResearch powerhouse for autonomous thinking, task planning, and 100% of your data stays locally. Support Win/Mac/Docker.
AI Lawyer is an intelligent reasoning legal assistant powered by DeepSeek , Ollama RAG and LangChain, designed to streamline legal research and document analysis. By leveraging retrieval-augmented generation (RAG), it provides precise legal insights, and contract summarization. With an intuitive Streamlit-based UI, analyze legal documents.
MCP server for AI agent for cybersecurity: automate assessment of documents, questionnaires & reports. Multi-format parsing, RAG knowledge base,Risks, compliance gaps, remediations.
A full-stack ai agent chat project, built with langgraph+fastapi+nextjs, supporting tool invocation and RAG knowledge base
Local AI-powered document search and editing with first-in-class hybrid retrieval, LLM answers, WebUI, REST API and MCP support for AI clients.
AI agent for security teams: automate assessment of documents, questionnaires & reports. Multi-format parsing, RAG knowledge base, OpenAI/Ollama. Risks, compliance gaps, remediations. MIT.
| Tool | Stars | Language | License | Score |
|---|---|---|---|---|
| bedrock-kb-rag-workshop | ★ 64 | HTML | MIT-0 | 23 |
| qdrant-loader | ★ 37 | Python | GPL-3.0 | 35 |
| casibase | ★ 4.5k | Go | Apache-2.0 | 44 |
| argo | ★ 480 | Python | — | 31 |
| AI-Lawyer-RAG-with-Deepseek | ★ 41 | Python | MIT | 31 |
| DocSentinel | ★ 65 | Python | MIT | 39 |
| ai-chatkit | ★ 79 | Python | — | 28 |
| gno | ★ 56 | TypeScript | MIT | 34 |
| Arthor-Agent | ★ 28 | Python | MIT | 37 |
| note-gen | ★ 11.1k | TypeScript | GPL-3.0 | 44 |
The top knowledge base & rag tools include bedrock-kb-rag-workshop, qdrant-loader, casibase. These are ranked by our composite score based on GitHub stars, community activity, and code quality.
Most tools listed here are open-source. 8 out of 10 have explicit open-source licenses, making them free to use and modify.
Consider your tech stack (language compatibility), project scale (stars indicate community trust), and specific features you need. Use the comparison table above to evaluate side by side.
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