RAG-KNOWLEDGE-SYSTEM and smart-knowledge-ai-rag
These are direct competitors offering nearly identical RAG pipelines (LangChain + Gemini + FAISS vector search) for document question-answering, with Tool B adding production-readiness features and source attribution while Tool A emphasizes simplicity with Gemini 2.5 Flash.
Maintenance
13/25
Adoption
1/25
Maturity
9/25
Community
0/25
Maintenance
13/25
Adoption
0/25
Maturity
9/25
Community
0/25
Stars: 1
Forks: —
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: —
Forks: —
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
No Package
No Dependents
No Package
No Dependents
About RAG-KNOWLEDGE-SYSTEM
Swaraj-Mandre/RAG-KNOWLEDGE-SYSTEM
AI-powered RAG system that answers questions from your own documents using Gemini 2.5 Flash, LangChain & FAISS vector database.
About smart-knowledge-ai-rag
22AD040/smart-knowledge-ai-rag
Production-ready Generative AI RAG system that enables intelligent document querying using LangChain, Gemini LLM, FAISS vector search, and HuggingFace embeddings with source-aware responses.
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