KDB.AI
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About
KDB.AI is a scalable vector database designed for building production-grade AI applications. It offers sub-100ms latency and 99.99% uptime. Key features include hybrid search (combining semantic and keyword searches), metadata filtering, and temporal similarity search for time series data. It supports multimodal RAG (Retrieval Augmented Generation) for unstructured data and offers various indexing methods for optimized retrieval. KDB.AI integrates with popular GenAI tools like LangChain, LlamaIndex, VectorIO, OpenAI, Azure AI, HuggingFace, and Unstructured.io. It boasts zero-embedding search for fast-changing temporal data and significant compression capabilities for slow-changing data.
Platform
Task
Features
• hybrid search
• zero embedding
• on-disk indexing
• multi-index search
• temporal similarity search
• metadata filtering
• killer compression
• multimodal rag
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