Postgres for Search and Analytics

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

JVector: the most advanced embedded vector search engine

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences

Radient turns many data types (not just text) into vectors for similarity search, RAG, regression analysis, and more.

Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍

cuVS - a library for vector search and clustering on the GPU

Command-line program for managing a media collection, with focus on Content-Based Image Retrieval (Computer Vision) methods for finding duplicates.

Vald. A Highly Scalable Distributed Vector Search Engine

ContextQA - Open source tool to chat with your data

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.

ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.

Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.

An embedded vector database designed to run on edge devices. Lightweight and fast with HNSW indexing algorithm.

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

Example to help understand how to use hugging face sentance_transformers to encode searchable text into embeddings AND how to use cosine similarity search to determine similarity between a search prompt and the embeddings

Example to help understand how the BM25 term based ranking model works in search applications

A text and media analysis service for Meedan Check, a collaborative media annotation platform