data-gentry 0.1.2

A library for packaging together data + documentation into an agent-friendly duckdb artifact.

DataGentry

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A small library for creating efficient file-specific agents / RAG systems with duckdb.

Overview

Data Gentry packages together:

• Loading data files and data documentation into a duckdb database with pre-built vector and full-text indices on the data dictionary's contents.
• Simple interfaces for chunking + embedding documents and loading data, allowing the user to customize how the duckdb artifact is created.
  • Out-of-the-box chunking: Semchunk
  • Out-of-the-box embedding: Bedrock
• Hybrid BM-25 / HNSW retrieval on the generated database.

The project is currently in a "proof-of-concept/playing around" phase, but in my mind could help to solve the problem that existing semantic layers are often tightly-coupled to vendors like Databricks or Snowflake, increasing vendor lock-in and coupling to spark workloads that are often overkill for the size of the data in question.

TODO:

• Support vector similarity metrics other than cosine similarity
• Implement a set of tools to allow an agent to work with the artifact
• Convenience functionality to auto-load from fs (/httpfs)?