Statistics for topic vector-search

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

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/

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

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

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

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

✨ A curated list of awesome community resources, integrations, and examples of Redis in the AI ecosystem.

Real-time on-device text-to-image and image-to-image Semantic Search with video stream camera capture using USearch & UForm AI Swift SDKs for Apple devices 🍏

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

Up to 200x Faster Dot Products & Similarity Metrics — for Python, Rust, C, JS, and Swift, supporting f64, f32, f16 real & complex, i8, and bit vectors using SIMD for both AVX2, AVX-512, NEON, SVE, & S...

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/

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...

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

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

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

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

Real-time on-device text-to-image and image-to-image Semantic Search with video stream camera capture using USearch & UForm AI Swift SDKs for Apple devices 🍏

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

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

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...

Turn PostgreSQL into your search engine in a Pythonic way.

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

A fast approximate nearest neighbor search library for Go

🧠 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...

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

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

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

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

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

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

Resume Matcher is an open source, free tool to improve your resume. It works by using AI, Reader LLMs, to compare and rank resumes with job descriptions.

🥤 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.

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

Complete example of how to build an Agentic RAG architecture with Redis, Amazon Bedrock, and LlamaIndex.