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

Refine high-quality datasets and visual AI models

Resume Matcher is an open source, free tool to improve your resume. It works by using AI, Reader LLMs, to compare and rank resumes with job descriptions.

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-powered enterprise search engine 🔎

AI agent microservice

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

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 PostgreSQL or SQLite

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.

Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577

Plugin that lets you ask questions about your documents including audio and video files.