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💡 All-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows

Refine high-quality datasets and visual AI models

Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

Superduper: End-to-end framework for building custom AI applications and agents.

Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai

Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).

AI agent microservice

🧠 AI-powered enterprise search engine 🔎

Fast, Accurate, Lightweight Python library to make State of the Art Embedding

RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.

Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️

Python client for Qdrant vector search engine

🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL

Benchmark for vector databases.

Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.

NucliaDB, The AI Search database for RAG

A Python vector database you just need - no more, no less.

Use ArXiv ChatGuru to talk to research papers. This app uses LangChain, OpenAI, Streamlit, and Redis as a vector database/semantic cache.