claude

kdbai-knowledge

KDB.AI vector database — schema design, hybrid search, integration patterns, and vector-index sizing

22 on GitHubby KXv0.3.0Apache-2.0updated 28 days agodevelopment
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Plugin kdbai-knowledge from marketplace kx-skills in KxSystems/kx-skills. Commands read from the repo's manifest — 28 days ago.

What it installs

Skills (2)

  • kdbai

    Use when building vector search, RAG pipelines, hybrid search, time-series pattern matching, or managing tables in KDB.AI. Also use when asked about kdbai_client, similarity search, reranking, KDB.AI filters, or CAGRA GPU indexes.

  • sizing

    Guide KDB.AI sizing, capacity planning, and server resource configuration by collecting dataset and usage requirements, recommending suitable vector indexes and starting configurations, and estimating RAM, GPU VRAM, and persisted disk. Use for KDB.AI hardware requirements, capacity planning, memory-

MCP servers (1)

  • kx-docs-mcp

    connects to: https://kx2.mcp.kapa.ai

View source on GitHub

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