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

The Real Time Social Media Content Retrieval System fetches real-time LinkedIn posts based on user queries, offering multiple post retrieval and customization options. Although initially focused on LinkedIn, it can be expanded to incorporate other social media platforms, facilitating cross-channel post similarity searches.

A simple python tool for embedding comparison

RoleRadar turns free-form requests like “Data Analyst roles in New York with SQL experience.” into structured filters and semantic-vector queries, delivering spot-on matches in seconds.

Simple, cross-platform port of GloVe embeddings, written in C

An essentia-based tool for extracting features from a collection of audio files. Two simple user interfaces, to create playlists and explore track similarities based on extracted audio features and embeddings.

No description provided.

VectorLite is a Rust-native, in-process vector store that brings sub-millisecond search and local embeddings to your AI agents and edge systems.

Tablassert is a highly performant declarative knowledge graph backend designed to extract knowledge assertions from tabular data while exporting NCATS Translator-compliant Knowledge Graph Exchange (KGX) NDJSON.

Vector similarity can be used to find similar products, articles and much more. In this tutorial, we will show you how to use Redis to index and search for similar vectors

A Python dictionary that uses semantic similarity for key matching instead of exact matches. This library allows you to retrieve values using keys that are semantically similar to the ones stored, making it ideal for natural language interfaces, etc.