CozoDB, Hybrid Relational-Graph-Vector Database
Hi HN! We're thrilled to share CozoDB v0.6, a monumental update to our FOSS database, which already unifies relational and graph features. With the addition of vector search, CozoDB becomes an even better companion for LLMs like ChatGPT. This release introduces vector search using HNSW indices within Datalog, enabling seamless integration with powerful features such as ad-hoc joins, recursive Datalog, and classical whole-graph algorithms. This update significantly broadens CozoDB's capabilities. Check out the linked release note for an in-depth look at the new features, comparisons to other…
In plain words
CozoDB is an open-source database that combines relational, graph, and vector search capabilities in a single system. It is designed for developers building applications with large language models and complex data queries. Version 0.6 adds vector search using HNSW indices integrated with Datalog, allowing users to perform ad-hoc joins, recursive queries, and graph algorithms alongside semantic search functionality.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hi HN! We're thrilled to share CozoDB v0.6, a monumental update to our FOSS database, which already unifies relational and graph features. With the addition of vector search, CozoDB becomes an even better companion for LLMs like ChatGPT. This release introduces vector search using HNSW indices within Datalog, enabling seamless integration with powerful features such as ad-hoc joins, recursive Datalog, and classical whole-graph algorithms. This update significantly broadens CozoDB's capabilities. Check out the linked release note for an in-depth look at the new features, comparisons to other systems, and intriguing AI development possibilities. We'd love for you to take a look! I'll be here to answer any questions you might have. Looking forward to your feedback!
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