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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.

  • Updated Mar 29, 2026
  • Python

Your SDK solves all of this. One interface. Unified logic. Local + hosted models. Fine-tuning. Agent tools. Enterprise-ready. Hybrid RAG.Star 🌟 if you like it!

  • Updated Apr 6, 2026
  • Python

AINL helps turn AI from "a smart conversation" into "a structured worker." It is designed for teams building AI workflows that need multiple steps, state and memory, tool use, repeatable execution, validation and control, and lower dependence on long prompt loops. AINL is a compact, graph-canonical, AI-native programming system for (READ: README)

  • Updated Apr 8, 2026
  • Python

Open source RAG tool for AI document search - connect GitHub, Notion, Google Drive and ask questions with cited answers. Self-hosted with Ollama/OpenAI/Claude.

  • Updated Apr 1, 2026
  • TypeScript

Async-native Python framework for building LLM applications — RAG pipelines, tool-using agents, and graph workflows. Streaming-first, transparent API, 2 hard deps. 27 providers · 43 tools · 26 loaders · 9 vector stores.

  • Updated Apr 8, 2026
  • Python

🤖 NoCapGenAI is a Retrieval-Augmented Generation (RAG) chatbot built with Streamlit, Ollama, MongoDB, and ChromaDB. It features a clean, modern UI and persistent vector memory for context-aware conversations. Easily integrates with Ollama-supported models like phi3:mini, llama3, mistral, and more. Designed to support customizable assistant modes

  • Updated Jul 6, 2025
  • Python

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