S3annnyyy/Agentic-RAG-Implementation
Building reliable Retrieval Augmented Generation(RAG) AI Architecture
This project helps AI developers build more reliable AI applications that can answer questions using specific documents or information sources. It takes various data inputs like web pages or internal documents and generates accurate, context-aware answers. Developers working on AI-powered chatbots, knowledge assistants, or intelligent search systems would use this to improve their application's performance.
No commits in the last 6 months.
Use this if you are an AI developer looking to build or enhance a Retrieval Augmented Generation (RAG) system that provides accurate answers based on specific knowledge sources.
Not ideal if you are not an AI developer or if you are looking for an off-the-shelf, plug-and-play solution without needing to configure underlying AI models.
Stars
13
Forks
23
Language
Python
License
MIT
Category
Last pushed
Jul 30, 2024
Commits (30d)
0
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