feat(redis): enhance RedisVectorStore with text search, range queries, and HNSW tuning #4950
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…, and HNSW tuning Add new capabilities to Redis Vector Store: - Text search with searchByText() method and configurable scoring algorithms - Range-based vector search with searchByRange() method - Support for multiple distance metrics (COSINE, L2, IP) - Configurable HNSW parameters (M, efConstruction, efRuntime) - Document count queries with count() method - Module-level checkstyle configuration Update Redis documentation with comprehensive coverage of new features including configuration properties, usage examples, and parameter guidelines. Co-authored-by: Brian Sam-Bodden <[email protected]> Signed-off-by: Mark Pollack <[email protected]>
markpollack
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Nov 24, 2025
| @@ -1 +1,158 @@ | |||
| [Redis Vector Store Documentation](https://docs.spring.io/spring-ai/reference/api/vectordbs/redis.html) | |||
| # Spring AI Redis Vector Store | |||
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this file should be removed, all docs in asciidoc
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Summary
searchByText()method and configurable scoring algorithmssearchByRange()methodcount()methodCo-authored-by: Brian Sam-Bodden [email protected]