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/
-
Updated
Apr 20, 2026 - Rust
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 ⚡
AI memory system combining vector search with temporal knowledge graph. Built-in cognitive engine for agents. Supports memory decay, contradiction detection, and MCP integration.
Vector Database implemented in Golang with support for full-text and vector search as well as fault tolerance via Raft.
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
LegalAI is a passion project which explores and simplifies the complexities of obtaining legal information using LLMs.
A Cross-Lingual, Context-Aware and Fully-Neural Sentence Alignment System for Long Texts.
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
Add a description, image, and links to the embeddings-similarity topic page so that developers can more easily learn about it.
To associate your repository with the embeddings-similarity topic, visit your repo's landing page and select "manage topics."