feld-m/rag_blueprint
A modular framework for building and deploying Retrieval-Augmented Generation (RAG) systems with built-in evaluation and monitoring.
This project helps engineering and product teams build robust AI chatbots and question-answering systems that provide accurate information from internal documents. It takes existing knowledge bases like Confluence, Notion, or PDF files, processes them, and delivers an interactive chat interface where users can ask questions and get answers. The ideal user is a developer or technical lead creating a reliable AI knowledge agent for their organization.
Use this if you need to build and deploy a production-ready RAG system that integrates various data sources, models, and includes built-in monitoring and evaluation.
Not ideal if you're looking for a simple, out-of-the-box chatbot solution without needing to customize or manage the underlying AI components.
Stars
19
Forks
10
Language
Python
License
MIT
Category
Last pushed
Nov 26, 2025
Commits (30d)
0
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