fivetran/dbt_unified_rag
Fivetran dbt package designed to generate an end model and Cortex Search Service (for Snowflake destinations only) which contains unstructured document data to be used for Retrieval Augmented Generation (RAG) applications leveraging Large Language Models (LLMs)
Combines HubSpot, Jira, and Zendesk data into semantic text chunks optimized for vector embeddings—supporting configurable token limits (default 5,000) for LLM consumption. Materializes 40 models across staging and final layers, with multi-schema/database union capabilities and selective connector activation via dbt variables. Supports Snowflake, BigQuery, Databricks, and PostgreSQL, with optional Cortex Search Service integration on Snowflake for native semantic search.
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5
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7
Language
Shell
License
Apache-2.0
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Last pushed
Mar 02, 2026
Commits (30d)
0
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