SmartCache: The SYSTEM1-inspired semantic cache for LLMs, optimizing performance and reducing costs with instant, intelligent responses. β‘π‘
Welcome to SmartCache, the ultimate solution for enhancing the efficiency and stability of your large language model (LLM) applications! Inspired by the SYSTEM1 concept from "Thinking, Fast and Slow," SmartCache provides fast, intelligent responses by caching semantically similar results. π
Say goodbye to high inference costs and slow response times, and hello to a more efficient, cost-effective, and reliable LLM experience.
- Single-Turn Semantic Caching: Efficiently caches and retrieves semantically similar single-turn queries. π
- Multi-Turn Semantic Caching: Supports caching for multi-turn conversations, maintaining context across interactions. π£οΈ
- Model-Specific Cache: Handles caching for different models, ensuring accurate and relevant responses. π―
- Multi-Tenancy: Provides robust support for multiple tenants, allowing isolated and secure caching for different clients. π’
- Stability and Consistency: Enhances the stability of LLM responses, ensuring consistent answers over time, crucial for commercial applications. π
Are you struggling with:
- High Costs πΈ: Large models with billions of parameters require substantial computational resources, leading to high deployment and operational costs.
- Slow Response Times π: Real-time applications demand quick responses, but large models often have slower inference times, impacting user experience.
- Unstable Responses
β οΈ : LLMs can produce inconsistent answers to similar queries, which is unacceptable for enterprise applications that require reliability and predictability.
SmartCache is here to solve these issues by:
- Caching Similar Results: Reducing the need for repeated model inferences by caching semantically similar responses.
- Multi-Turn Support: Maintaining context across multi-turn conversations to provide coherent and relevant responses.
- Model and Tenant Isolation: Ensuring that different models and tenants can operate independently without interference.
- Solidifying Answers: Providing consistent answers over time by caching and retrieving stable responses based on various dimensions.
SmartCache is tailored for:
- Enterprise-Level Applications π’: Utilize large language models and need to reduce operational costs and ensure response stability.
- Developers and Engineers π©βπ»π¨βπ»: Looking for a robust solution to enhance the performance and reliability of their LLM applications.
- Businesses πΌ: That demand consistent and reliable LLM responses for their commercial applications.
Ready to supercharge your LLM applications? Follow these simple steps:
- Installation π¦: Instructions on how to install SmartCache.
- Configuration βοΈ: Details on configuring SmartCache for different use cases.
- Integration π: How to integrate SmartCache with your existing LLM applications.
Here are some basic usage examples to help you get started:
- Initializing SmartCache: Code snippets for initializing the cache.
- Caching Single-Turn Queries: Examples of how to cache and retrieve single-turn queries.
- Multi-Turn Conversations: How to handle caching for multi-turn conversations.
- Model-Specific Caching: Configuring SmartCache to handle different models.
Explore the technical depths of SmartCache:
- Embedding Generation: How SmartCache generates embeddings for semantic similarity. π§
- Vector Store Integration: Details on integrating with vector stores like Milvus and FAISS. π
- Cache Management: Strategies for managing cache eviction and data retrieval. ποΈ
- Multi-Tenancy Support: Implementing and configuring multi-tenancy in SmartCache. π’
We welcome contributions from the community! π If you would like to contribute, please read our Contributing Guidelines and check out our Code of Conduct.
SmartCache is licensed under the Apache License.
SmartCache is here to help you optimize your LLM applications by providing fast, intelligent, and cost-effective responses. For more information, please refer to our detailed documentation and feel free to reach out with any questions or feedback. Happy caching! π