OneRAG and selfhosted-llm-rag-app

OneRAG

Established

selfhosted-llm-rag-app

Experimental

Maintenance 10/25

Adoption 9/25

Maturity 13/25

Community 21/25

Maintenance 10/25

Adoption 3/25

Maturity 13/25

Community 0/25

Stars: 113

Forks: 35

Downloads: —

Commits (30d): 0

Language: Python

License: MIT

Stars: 4

Forks: —

Downloads: —

Commits (30d): 0

Language: HTML

License: Apache-2.0

No Package No Dependents

About OneRAG

notadev-iamaura/OneRAG

Production-ready RAG Framework (Python/FastAPI). 1-line config swaps: 6 Vector DBs (Weaviate, Pinecone, Qdrant, ChromaDB, pgvector, MongoDB), 5 LLMs (Gemini, OpenAI, Claude, Ollama, OpenRouter). OpenAI-compatible API. 2100+ tests.

This project helps you quickly build and deploy a smart chatbot or question-answering system for your business using your own documents. You feed in unstructured text like PDFs, Word files, or Markdown, and it outputs intelligent, context-aware answers to user questions. This is ideal for product managers, innovation leads, or internal tool builders looking to create customer service bots, knowledge base assistants, or internal Q&A systems.

AI-powered-chatbots knowledge-management customer-support-automation document-intelligence internal-Q&A-systems

About selfhosted-llm-rag-app

mysticrenji/selfhosted-llm-rag-app

A RAG App on Self hosted kubernetes platform

Related comparisons

OneRAG and Advanced-RAG-monorepo OneRAG and raggo OneRAG and rag-decision-support-system OneRAG and rag-studio OneRAG and minimal-rag-backend OneRAG and DocQuery

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