Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

Epsilla is a high performance Vector Database Management System

A tiny embedding database in pure Rust.

Embedding Studio is a framework which allows you transform your Vector Database into a feature-rich Search Engine.

A curated list of awesome works related to high dimensional structure/vector search & database

A ChatGPT integration library for .NET, supporting both OpenAI and Azure OpenAI Service

Vectory provides a collection of tools to track and compare embedding versions.

High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡

Vector Database implemented in Golang with support for full-text and vector search as well as fault tolerance via Raft.

An in-memory Vector Database & AI Gateway written in Go. Supports HNSW, Hybrid Search (BM25), GraphRAG context, a built-in RAG Pipeline, and can be embedded directly into your apps.

Using embeddings to create memory.

AI song recommendations based on the feel of a song

⚡ World’s Fastest Vector Database for AI & RAG

A command-line tool to index and perform hybrid semantic & lexical search over text files

A Cross-Lingual, Context-Aware and Fully-Neural Sentence Alignment System for Long Texts.

LegalAI is a passion project which explores and simplifies the complexities of obtaining legal information using LLMs.

Building representation in the vector space

The repository is aimed at providing practical examples and resources for developers and researchers interested in applying LM and GPT models to real-world NLP problems.

vector db built by someone with no idea how to build a vector db