Agentic rag

Ragent is an enterprise-grade Agentic RAG platform for Java that covers the complete pipeline from document ingestion to intelligent Q&A, including...

Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles, offering unified tools, skills,...

A modular educational framework for building Agentic RAG systems with LangGraph, designed to teach retrieval-augmented generation with practical...

OpenViking is a context database purpose-built for AI agents that unifies agent memory, knowledge retrieval, and skills in a single system. It...

A structured 12-lesson course by Microsoft teaching beginners how to build AI agents using frameworks like AutoGen and Semantic Kernel, delivered via...

A curated collection of Jupyter notebooks and Python scripts demonstrating multi-agent AI systems, agentic workflows, and related techniques such as...

Claude Context is an MCP plugin that integrates semantic code search into Claude Code and other AI coding agents, enabling them to efficiently find...

STORM is an LLM-powered system that researches topics via web search and generates Wikipedia-style articles with citations, combining pre-writing...

This repository is a curated collection of 42+ runnable Jupyter notebooks demonstrating advanced RAG (Retrieval-Augmented Generation) techniques,...

DeepSearcher is an open-source agentic RAG platform combining LLMs (OpenAI o3, DeepSeek, Claude, Grok, Llama) with vector databases (Milvus, Zilliz...

Agentset is an open-source RAG platform designed for building production-ready retrieval-augmented generation and agentic applications. It excels at...

A comprehensive educational resource for building Retrieval-Augmented Generation (RAG) applications using LangChain, presented as a series of Jupyter...

Deep Lake is a specialized AI data platform that combines a serverless PostgreSQL-compatible database with multimodal storage (embeddings, images,...