kaymen99/local-rag-researcher-deepseek
Local RAG researcher agent built using Langgraph, DeepSeek R1 and Ollama
Comprehensive tutorials for LangChain, LangGraph, and LangSmith using Groq LLM. Learn to build advanced AI systems, from basics to production-ready applications. Covers key concepts, real-world examples, and best practices. Ideal for beginners and experts alike. Elevate your AI development skills!
$ git clone https://github.com/doomL/langchain-langgraph-tutorial.gitLocal RAG researcher agent built using Langgraph, DeepSeek R1 and Ollama
RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology.
▲ +4 ★ this week
动手学Ollama,CPU玩转大模型部署,在线阅读地址:https://datawhalechina.github.io/handy-ollama/
A project-based course repository for developing AI agents using LangChain v1+ and LangGraph: search agents, RAG systems, reflection agents, and code interpreters.
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
Data from GitHub · snapshot Nov 13, 2026