repoGitLabTrust 82 · PrimaryPublished 10d agoLive · 10d ago
kchatterjee4040/full-stack-RAG-Retrieval-Augmented-Generation-Document-Assistant
A user uploads a PDF or TXT file, then asks questions about it. The system retrieves relevant chunks from the document and uses an LLM to answer based only on that content. If the answer isn't in the document, it must say so clearly instead of guessing.
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 51%A Production RAG Pipeline for PDFs: Relational Parsing, TOC Retrieval, Typed Answers - Towards Data Science →