ollama_pdf_rag and docuchat-ai
These are competitors—both implement local RAG pipelines for PDF document chat, but A uses Ollama for the LLM layer while B uses LangChain with ChromaDB, representing different architectural choices for the same use case.
About ollama_pdf_rag
tonykipkemboi/ollama_pdf_rag
A full-stack demo showcasing a local RAG (Retrieval Augmented Generation) pipeline to chat with your PDFs.
Implements a LangChain + ChromaDB vector pipeline with Ollama for embeddings and inference, eliminating cloud dependencies entirely. Offers three distinct interfaces—Next.js with REST API, Streamlit, and Jupyter notebooks—plus multi-PDF support with source citation tracking and multi-query retrieval strategies. Architecture combines FastAPI backend for document ingestion and RAG queries with a modern React frontend, enabling both programmatic and interactive exploration of document collections.
About docuchat-ai
Dipanshu-js/docuchat-ai
Open-source RAG app to chat with your PDFs and documents using LangChain, ChromaDB, and Next.js.
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