pdf-process-rag and PythoRAG

pdf-process-rag
31
Emerging
PythoRAG
28
Experimental
Maintenance 2/25
Adoption 1/25
Maturity 16/25
Community 12/25
Maintenance 10/25
Adoption 3/25
Maturity 15/25
Community 0/25
Stars: 1
Forks: 1
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 3
Forks:
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stale 6m No Package No Dependents
No Package No Dependents

About pdf-process-rag

salameaz/pdf-process-rag

A Python-based application that extracts and processes PDF content using a Retrieval-Augmented Generation (RAG) approach. Leverage vector embeddings to enable efficient querying of both text-based and scanned PDFs, and interact with your documents using a large language model.

About PythoRAG

natanhp/PythoRAG

PythoRAG is a simple, open-source project designed to facilitate Retrieval-Augmented Generation (RAG) by integrating PDF document ingestion with Qdrant for vector storage and Deepseek-R1:1.5B (running on Ollama) for context-aware text generation

Scores updated daily from GitHub, PyPI, and npm data. How scores work