ZeroEntropy is an adaptive AI retrieval engine designed to provide human-level search capabilities for AI agents and RAG (Retrieval-Augmented Generation) applications. It understands context, learns from queries, and delivers accurate, personalized results out-of-the-box.
Key Features:
- Adaptive AI Retrieval: Combines dense, sparse, and reranked relevance in a single API.
- Context-Aware Search: Understands data holistically, considering the corpus, missing information, and query context.
- Self-Improving: Learns from every query and interaction to deliver increasingly accurate and relevant results.
- Enterprise-Grade Security: SOC 2 Type II compliance and HIPAA readiness.
- Deployment Options: Offers both self-serve API access and secure, custom deployment options (VPC or on-prem).
Use Cases:
- AI Agents: Enhance the search capabilities of AI agents, enabling them to retrieve information more effectively.
- RAG Applications: Improve the accuracy and relevance of RAG applications by providing a more sophisticated retrieval layer.
- Knowledge Bases: Deliver more intuitive and personalized search experiences for knowledge bases.
- Customer Support: Enable chatbots and customer support systems to provide more accurate and helpful responses.
