Statistics for topic vector-search

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

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/

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

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

🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library

RAG Time: A 5-week Learning Journey to Mastering RAG

Superlinked is a Python framework for AI Engineers building high-performance search & recommendation applications that combine structured and unstructured data.

Searching for structural similarities across billions of molecules in milliseconds

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

🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

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/

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

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 c...

RAG Time: A 5-week Learning Journey to Mastering RAG

RAG Time: A 5-week Learning Journey to Mastering RAG

🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for...

A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go.

⚡ Faster vector search with PDX: A vertical data layout for vectors

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

⚡ Faster vector search with PDX: A vertical data layout for vectors

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

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/

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

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 c...

A modern replacement for Redis and Memcached

RAG Time: A 5-week Learning Journey to Mastering RAG

⚡ Faster vector search with PDX: A vertical data layout for vectors

🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for...

Searching for structural similarities across billions of molecules in milliseconds

A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go.

🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library

MemFree - Hybrid AI Search Engine & AI Page Generator

🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with PostgreSQL or SQLite

Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.

Go library for embedded vector search and semantic embeddings using llama.cpp

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

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/

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

A modern replacement for Redis and Memcached

🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with PostgreSQL or SQLite

RAG Time: A 5-week Learning Journey to Mastering RAG

Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.

Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.

Go library for embedded vector search and semantic embeddings using llama.cpp