How does Hybrid Search work in this skill?

Hybrid search combines vector-based semantic similarity with traditional metadata filtering (like price ranges, categories, or dates) and allows you to weight the importance of each factor.

Can I manage multiple databases simultaneously?

Yes, this skill provides patterns for initializing separate adapters for different domains (knowledge, conversation, code) and routing queries to the correct database shard.

When should I use Euclidean distance vs Cosine similarity?

Use Cosine similarity for semantic text search where vector direction matters most; use Euclidean distance for image embeddings or spatial data where the absolute magnitude between points is critical.

What is AgentDB QUIC synchronization?

QUIC synchronization enables sub-millisecond latency for data sharing between AgentDB instances across different network nodes, providing encrypted, reliable, and multiplexed data streams.

What is the benefit of using MMR in retrieval?

Maximal Marginal Relevance (MMR) ensures that search results are diverse and non-redundant, preventing the AI from receiving multiple pieces of identical information in its context window.

AgentDB Advanced Features | Claude Code Skill

This skill empowers developers to architect sophisticated, distributed AI agent systems using the AgentDB platform. It provides comprehensive patterns for sub-millisecond synchronization via QUIC protocols, advanced vector search using diverse distance metrics, and hybrid search capabilities that combine semantic similarity with complex metadata filtering. Whether you are implementing horizontal scaling through database sharding or ensuring search result diversity with Maximal Marginal Relevance (MMR), this skill provides the production-ready implementation guidance and CLI operations needed for high-performance agentic workflows.

主な機能

01Hybrid search combining vector similarity with complex metadata filters

02Database sharding and multi-database management patterns

03Sub-millisecond QUIC-based multi-node synchronization

042 GitHub stars

05Support for Cosine, Euclidean, and Dot Product distance metrics

06Diversity-focused retrieval using Maximal Marginal Relevance (MMR)

ユースケース

01Building low-latency distributed AI agent swarms across network boundaries

02Implementing complex RAG systems with advanced metadata filtering and weighting

03Scaling vector memory horizontally across multiple shards for production environments

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ricable/ultimate-ai-agent agentdb-advanced

For use in Claude.ai and ChatGPT

Download Skill

主な機能

01Hybrid search combining vector similarity with complex metadata filters

02Database sharding and multi-database management patterns

03Sub-millisecond QUIC-based multi-node synchronization

042 GitHub stars

05Support for Cosine, Euclidean, and Dot Product distance metrics

06Diversity-focused retrieval using Maximal Marginal Relevance (MMR)

ユースケース

01Building low-latency distributed AI agent swarms across network boundaries

02Implementing complex RAG systems with advanced metadata filtering and weighting

03Scaling vector memory horizontally across multiple shards for production environments

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ricable/ultimate-ai-agent agentdb-advanced

For use in Claude.ai and ChatGPT

Download Skill

AgentDB Advanced Vector Search & Sync

AgentDB Advanced Vector Search & Sync

主な機能

ユースケース

主な機能

ユースケース