feat(redis): Add Redis-based semantic caching and chat memory implementations

[bsbodden]

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• 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.

/cc @jruaux

Signed-off-by: Brian Sam-Bodden [email protected]