IssunDB – a new embedded graph database with vector and text search
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AI Summary
IssunDB is an embedded graph database that integrates vector and full-text search capabilities, designed for developers building local-first or edge applications. It targets use cases requiring complex relational queries alongside semantic and keyword search, all within a single, lightweight engine. Its interest lies in combining graph, vector, and text search in an embedded format, eliminating the need for separate databases and enabling richer, offline-capable data interactions.
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