Statistics for topic vector-search

A cloud-native vector database, storage for next generation AI applications

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

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/

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

A modern replacement for Redis and Memcached

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

📝 Automatically annotate papers using LLMs

The documentation for SurrealDB, powered by Astro

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

Home of the AI workforce - Multi-agent system, AI agents & tools

📝 Automatically annotate papers using LLMs

A cloud-native vector database, storage for next generation AI applications

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

A modern replacement for Redis and Memcached

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

📝 Automatically annotate papers using LLMs

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

NNV(No-Named.V) is a vector database that supports Multi-Vector Search, high-performance HNSW, FLAT and quantization, and enables fast searches through sophisticated internal data shard design.

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

The documentation for SurrealDB, powered by Astro

📝 Automatically annotate papers using LLMs

A cloud-native vector database, storage for next generation AI applications

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

A modern replacement for Redis and Memcached

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/

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

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

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

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

NNV(No-Named.V) is a vector database that supports Multi-Vector Search, high-performance HNSW, FLAT and quantization, and enables fast searches through sophisticated internal data shard design.

Rust library for generating vector embeddings, reranking locally

MemFree - Hybrid AI Search Engine & AI Page Generator

A @ClickHouse fork that supports high-performance vector search and full-text search.

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

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

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

A cloud-native vector database, storage for next generation AI 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

A modern replacement for Redis and Memcached

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

A @ClickHouse fork that supports high-performance vector search and full-text search.

In-memory vector store with efficient read and write performance for semantic caching and retrieval system. Redis for Semantic Caching.

🥤 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