saadtariq-ds/rag-document-search
A lightweight RAG project that indexes documents into a vector store for semantic search with LLM-powered responses. It processes documents, creates embeddings, retrieves relevant context using FAISS, and generates accurate answers. Modular and easy to extend for learning or rapid prototyping.
Stars
—
Forks
—
Language
Python
License
—
Last pushed
Dec 13, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/saadtariq-ds/rag-document-search"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Siddhant-K-code/distill
Reliable LLM outputs start with clean context. Deterministic deduplication, compression, and...
wangxb96/RAG-QA-Generator
RAG-QA-Generator...
aws-samples/rag-with-amazon-opensearch-serverless-and-sagemaker
Question Answering Generative AI application with Large Language Models (LLMs) and Amazon...
PerciValXIII/CAFB-food-wise-ai
AI-powered content automation tool for the Capital Area Food Bank (CAFB), using RAG and LLMs to...
aws-samples/rag-with-amazon-opensearch-and-sagemaker
Question Answering Generative AI application with Large Language Models (LLMs) and Amazon...