AgentDB Advanced Features

About

This skill enables Claude to implement and manage sophisticated AgentDB configurations for production-grade AI applications. It provides expert guidance on low-latency QUIC synchronization across nodes, hybrid search techniques combining vector similarity with metadata filters, and advanced distance metrics like Euclidean and Dot Product. Developers can leverage these patterns to build resilient, distributed memory systems for multi-agent coordination, sharded database architectures, and diverse search results using Maximal Marginal Relevance (MMR).

Key Features

• Sub-millisecond QUIC synchronization for distributed nodes
• Hybrid search combining vector embeddings with metadata filtering
• Multiple distance metrics including Cosine, Euclidean, and Dot Product
• Advanced retrieval techniques like Maximal Marginal Relevance (MMR)
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• Horizontal scaling via database sharding and connection pooling

Use Cases

• Scaling agentic workflows across multi-node production environments
• Building low-latency distributed AI memory systems
• Implementing complex RAG pipelines with metadata-filtered search