serkanyasr/agentic_rag_project
Scalable Agentic RAG system using Pydantic AI, FastAPI & pgvector. Modular, production-ready foundation for document-based AI apps
This system helps organizations make sense of large collections of documents, like PDFs, by turning them into an intelligent, searchable knowledge base. You input your documents, and it allows you to ask questions in plain language, getting direct answers and insights from your content, even extracting information from tables and images. It's designed for data scientists and AI engineers who need to build custom AI applications that can interact with and understand complex document sets.
Use this if you need a robust, scalable foundation to build AI applications that intelligently retrieve information and generate answers from your proprietary documents, supporting complex search and conversation management.
Not ideal if you're looking for an off-the-shelf, no-code solution for document querying, as this project requires development expertise to implement and customize.
Stars
17
Forks
2
Language
Python
License
MIT
Category
Last pushed
Nov 03, 2025
Commits (30d)
0
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