agentic-rag
55 个项目 · ⭐ 261.3k18 Lessons to Get Started Building AI Agents
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
Code search MCP for Claude Code. Make entire codebase the context for any coding agent.
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
Everything you need to know to build your own RAG application
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
企业级 Agentic RAG 智能体 - 全链路覆盖文档解析、多路检索、意图识别、问题重写、会话记忆、MCP 工具调用与深度思考。面向真实业务场景,从 0 到 1 完整工程实现。
The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.
[ACL 2026 KnowFM] Awesome Agentic Deep Research Resources
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