HotKV

HotKV is a high-performance, multi-threaded in-memory data store that is fully compatible with Redis clients. It extends traditional data storage with specialized features for modern applications: • Redis-compatible protocol for seamless integration • Semantic cache for natural language requests • Vector search capabilities for RAG pipelines • Agent memory management for contextual understanding • Embedding deduplication to optimize storage and calls This robust store is engineered in C++20 to deliver exceptional speed and efficiency, allowing existing Redis clients to connect without any changes. HotKV significantly reduces token spend for language model interactions by identifying and serving cached responses for both exact and semantically similar prompts. This capability ensures faster response times and substantial cost savings by minimizing redundant API calls to external models. The system includes advanced features like a semantic cache that uses vector similarity to retrieve relevant cached responses based on prompt paraphrasing, even if not an exact match. It also provides comprehensive agent memory functions for managing conversation history, working memory, and episodic data. HotKV integrates RAG pipelines directly within the engine, offering chunking, hybrid BM25, and vector search. Embedding deduplication ensures that identical content is embedded only once, further optimizing resource use. HotKV is ideal for developers and engineering teams building high-performance applications that interact with large language models, particularly those focused on reducing operational costs and enhancing response speed. It's perfect for use cases requiring efficient data retrieval, semantic search, and robust caching mechanisms.