ajitsingh98/Building-RAG-System-with-Deepseek-R1-Locally
This repository contains an end-to-end Retrieval-Augmented Generation (RAG) system that leverages Deepseek and Ollama to provide intelligent responses based on any pdf content.
No commits in the last 6 months.
Stars
3
Forks
1
Language
Python
License
—
Last pushed
Feb 17, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/ajitsingh98/Building-RAG-System-with-Deepseek-R1-Locally"
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...
louisbrulenaudet/ragoon
High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized...
pesu-dev/ask-pesu
A RAG pipeline for question answering about PES University
namtroi/RAGBase
Open Source RAG ETL Platform. Turns PDFs, Docs & Slides into queryable vectors. Features a...
B-A-M-N/FlockParser
Distributed document RAG system with intelligent GPU/CPU orchestration. Auto-discovers...