laxmimerit/Agentic-RAG-with-LangGraph-and-Ollama
Building production-ready Retrieval-Augmented Generation (RAG) systems with LangGraph orchestration and local Ollama models for privacy-preserving AI applications.
This project helps AI developers build intelligent AI agents and chatbots that can understand and respond to user queries using their own private documents and data. It takes your local documents (like PDFs, Excel files, or databases) and uses them to power AI conversations, keeping your information private. This is for AI developers, data scientists, and ML engineers looking to build custom, privacy-preserving AI applications.
Use this if you need to develop production-ready AI agents and chatbots that operate on your private datasets without sending sensitive information to external cloud services.
Not ideal if you are a non-technical user looking for a ready-to-use AI tool, or if you prefer to use only external, cloud-based LLM services for your applications.
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Last pushed
Feb 16, 2026
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