PrMestizo/Advanced-RAG-LangChain

Implementation of Reflective RAG, Self-RAG & Adaptive RAG tailored towards production-oriented applications with LangGraph and OpenAI API

20
/ 100
Experimental

This tool helps AI developers build more reliable and intelligent Retrieval-Augmented Generation (RAG) applications using advanced techniques. It takes your existing RAG pipeline components and enhances them with reflective, self-improving, and adaptive capabilities, resulting in more accurate and contextually relevant AI responses. The primary users are AI/ML engineers and developers focused on deploying robust RAG systems into production environments.

No commits in the last 6 months.

Use this if you are an AI developer looking to build sophisticated, production-ready RAG applications that go beyond basic retrieval and generation.

Not ideal if you are looking for a no-code solution or are not comfortable working with Python, LangGraph, and integrating various API keys.

AI-development NLP-engineering machine-learning-operations conversational-AI information-retrieval
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 7 / 25

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Stars

10

Forks

1

Language

Python

License

Last pushed

Jul 01, 2024

Commits (30d)

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Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/rag/PrMestizo/Advanced-RAG-LangChain"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.