weaviate/weaviate Alternatives

Choose when you need a mature AI search platform with advanced ranking, streaming, and large-scale serving.

The AI search platform

Choose when you need a high-performance AI-native database with dense, sparse, tensor, and full-text hybrid search.

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

Choose when you want a single engine unifying vector, text, structured, and semi-structured data for agent/LLM apps.

The AI-Native Search Database. Best for agent storage, it unifies vector, text, structured, and semi-structured data into a single engine. This all-in-one database makes agents smarter, easier to run, and more stable.

Choose when you want a dedicated high-performance vector database with rich filtering and payload support in Rust.

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/

Choose when you need a self-hosted vector database management system with straightforward deployment.

Epsilla is a high performance Vector Database Management System

Choose when you need a distributed vector search system with Python bindings for AI-native applications.

Distributed vector search for AI-native applications

Choose for embedded client-side or edge search in JavaScript apps where a standalone database server is overhead.

🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.

Choose when you already run Postgres and want full-text + vector search in the same SQL database.

One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.

Choose when you already use Redis and want in-memory vector similarity within your existing data structure server.

For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.

Choose when you need lightning-fast typo-tolerant full-text search with optional hybrid vector mode and a simple API.

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

Choose when you want vector search as a Postgres extension and don't want to operate a separate database service.

Open-source vector similarity search for Postgres

Choose when you need an in-process, lightweight vector database embedded directly in your application.

A lightweight, lightning-fast, in-process vector database

Choose when you want an embedded retrieval library for multimodal AI with no server management.

Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.

Choose when you need to combine graph relationships with vector search in a transactional database on object storage.

HelixDB is an OLTP graph-vector database built in Rust on Object Storage.

Choose when you need fast typo-tolerant full-text search plus vector search with an Algolia-like API.

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

Choose when you need a real-time search database with SQL, full-text, and vector hybrid search.

Open-source search database for full-text, vector, and hybrid search with real-time indexing and SQL.

Choose when you want a Rust-native in-process search library or lightweight multi-tenant server with vector and lexical search.

SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.

Choose when you need a self-hosted enterprise search server with a crawler, built on OpenSearch, for site/file search with AI/RAG features.

Open-source, self-hosted enterprise & site search server built on OpenSearch. Crawls web / file / DB / cloud sources, 20+ languages, REST API, and AI/RAG & semantic search. Apache-2.0.

Choose if you're already on Postgres and want a simple vector extension, but prefer pgvector for more recent maintenance.

PostgreSQL vector database extension for building AI applications