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Weaviate

Vector DB & Data Open Source

Open-source vector database under BSD-3 that is free to self-host; its focus is hybrid retrieval that blends vector similarity with BM25 keyword search

Vector DatabaseOpen SourceHybrid SearchSelf-HostedRAG
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Overview

Weaviate is an open-source vector database built around putting two kinds of retrieval in one engine. Vector similarity handles meaning, BM25 handles exact keyword hits, and the two can be weighted and fused inside a single query.

It also builds vectorisation into the database itself, so embeddings are produced at write time and there is no separate pipeline to maintain in the application layer.

Key Features

Use Cases

Pros

Pricing

Free to self-host under BSD-3. Cloud offers a 14-day Sandbox trial; Cloud Flex from $45/month; Dedicated Cloud from $400/month; enterprise BYOC is custom.

Summary

Weaviate stakes its position on hybrid retrieval and self-hosting. It does not chase maximum managed convenience, instead folding both retrieval modes into one engine and bringing vectorisation in as well. That design appeals to regulated industries that are data-sensitive but cannot give up keyword precision. Worth noting: the cloud presence centres on a 14-day Sandbox trial, so for a long-term zero-cost setup, self-hosting is the steadier path.

Version History

Category
Vector DB & Data
Pricing
Open Source
Tags
Vector Database · Open Source · Hybrid Search
Website

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