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datakailabs

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DataKai

We build knowledge infrastructure.
Our tools turn scattered documentation into queryable, graph-connected knowledge that AI applications can reason over.

PyPI License

Conduit — The Knowledge Graph Engine

Conduit combines vector search with knowledge graph traversal. When it finds a relevant concept, it walks relationships to discover connected knowledge the query didn't mention. That's the difference between keyword-matching and understanding.

pip install 'conduit-ai[local]'
from conduit_ai import LocalConduit

conduit = LocalConduit("./my-kb")
conduit.install_pack("snowflake-2026.04.ckp")
results = conduit.search("How does Cortex Search work?")

Get Started
conduit The engine — self-host with Docker Compose, or embed in Python
conduit-py Python SDK — LangChain retriever, embedded DuckDB engine, CLI
conduit-mcp MCP server — plug into Claude Code, Cursor, Pi, or any MCP agent
knowledge-packs Seed packs — Snowflake, AWS, Databricks, GenAI (14,944 zettels)

Quick Paths

  • Data engineer in a notebook? → pip install 'conduit-ai[local]' + install a knowledge pack
  • Building a chatbot/assistant? → Self-host the engine with Docker Compose
  • Using Claude Code or Cursor? → Install conduit-mcp for knowledge graph access in your agent
  • Want to try it first? → pip install conduit-ai and run conduit inspect snowflake-2026.04.ckp

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