databricks-parsing

What problem does it solve?

This Skill automates the extraction of text and structured data from various document types (PDF, DOCX, PPTX, images), enabling efficient document processing and the creation of custom RAG pipelines.

Core Features & Use Cases

• Document Parsing: Utilizes the ai_parse_document SQL function to convert binary documents into structured text.
• RAG Pipeline Foundation: Serves as the initial step for building custom Retrieval Augmented Generation pipelines by parsing and chunking documents.
• Use Case: Ingesting a collection of research papers from a Databricks Volume, parsing them into text, and preparing them for a custom RAG system to enable semantic search.

Quick Start

Parse all documents in the '/Volumes/catalog/schema/volume/docs/' directory using the ai_parse_document function.