How to build a RAG pipeline for PDFs
A notebook published on November 28, 2024 demonstrates a RAG recipe for PDFs with Docling and Weaviate, using document conversion to Markdown or JSON.
Source: Notebook: RAG sobre PDFs com Docling e Weaviate (github.com). Text prepared with AI from this source.
What happened and what to do
Published on November 28, 2024, the notebook demonstrates a retrieval-augmented generation (RAG) recipe for PDF files using Docling and Weaviate. It describes Docling as an open-source Python package that converts documents, including PDFs, to Markdown or JSON.
A company can use this approach as a starting point for structuring PDF ingestion, conversion, indexing, and content retrieval. An implementation could include pipeline monitoring, document access controls, and tests to assess answer quality before making the workflow available to teams.
How the consultancy can help
Wendelmaques can assess the document collection, access requirements, and expected quality; define a RAG architecture; and deliver a scoped implementation with monitoring and operation suited to the client’s infrastructure.
Next step
Send a short description of your use case and document collection to receive a scoped proposal.
Let's assess your project
I reply with scope and a proposal.