Redis/sem caching advisor and chat memory #4982
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…ntations Add comprehensive Redis-backed features to enhance Spring AI: * Add semantic caching for chat responses: - SemanticCache interface and Redis implementation using vector similarity - SemanticCacheAdvisor for intercepting and caching chat responses - Uses vector search to cache and retrieve responses based on query similarity - Support for TTL-based cache expiration - Improves response times and reduces API costs for similar questions * Add Redis-based chat memory implementation: - RedisChatMemory using RedisJSON + RediSearch for conversation storage - Configurable RedisChatMemoryConfig with builder pattern support - Message TTL, ordering, multi-conversation and batch operations - Efficient conversation history retrieval using RediSearch indexes * Add integration tests: - Comprehensive test coverage using TestContainers - Tests for semantic caching features and chat memory operations - Integration test for RedisVectorStore with VectorStoreChatMemoryAdvisor - Verify chat completion augmentation with vector store content The Redis implementations enable efficient storage and retrieval of chat responses and conversation history, with semantic search capabilities and configurable persistence options. Signed-off-by: Brian Sam-Bodden <[email protected]>
…nectivity Refactor Redis-based chat memory implementation to: - Implement ChatMemoryRepository interface as requested in PR spring-projects#2295 - Fix Redis connection issues in integration tests reported in PR spring-projects#2982 - Optimize conversation ID lookup with server-side deduplication - Add configurable result limits to avoid Redis cursor size limitations - Implement robust fallback mechanism for query failures - Enhance support for metadata, toolcalls, and media in messages - Add comprehensive test coverage with reliable Redis connections Signed-off-by: Brian Sam-Bodden <[email protected]>
Signed-off-by: Brian Sam-Bodden <[email protected]>
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