similarity-search

(distributed) vector database

An LLM GUI application; enables you to interact with your files, offering dynamic parameters that can modify response behavior during runtime.

VQLite - Simple and Lightweight Vector Search Engine based on Google ScaNN

Scripts and Approach for Amazon ML Challenge

Examples of my tutorial on how to use Neo4j for empowering AI RAG systems

Reliable and Efficient Semantic Prompt Caching with vCache

Python SDK for vector search, semantic search, RAG, embeddings, and AI agents on Oracle AI Database

Faiss-based library for efficient similarity search

Kubernetes operator for Qdrant

NeuronDB PostgreSQL extension: vector similarity search (HNSW, IVFFlat), embeddings, kNN, ML in SQL, and hybrid full-text + vector retrieval.

Rust client library for ChromaDB

A python library for efficient KNN search within metric spaces using multiple distance functions.

Embedded-first vector database that grows into a self-hosted service and lightweight cluster.

Cottontail DB is a column store vector database aimed at multimedia retrieval. It allows for classical boolean as well as vector-space retrieval (nearest neighbour search) used in similarity search using a unified data and query model.

A curated list of awesome Milvus projects and resources.

Scalable Embedded Vector Index for Go and Rust

Using Hugging Face Hub Embeddings with Langchain document loaders to do some query answering

Scalable Qdrant vector database cluster with Docker Compose, monitoring, and comprehensive documentation for high-performance similarity search applications.

Embedded on-device vector database for AI agent memory and local RAG — disk-based HNSW in an LSM-tree, C++/Python, optimized for low memory footprint

This repository contains hybrid-rag a LLMOPS python package