Open-Source Structured Extraction with LLM Using Ollama
Incremental engine for long horizon agents 🌟 Star if you like it! - cocoindex/examples/manuals_llm_extraction at main · cocoindex-io/cocoindex
Open-Source Structured Extraction with LLM Using Ollama launched on March 20, 2025 with 5 votes and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Convert each PDF manual to Markdown with docling, LLM-extract a typed summary — classes, methods, arguments — and store it in Postgres — in plain async Python. Manuals are full of structure laid out for humans, not machines; this pulls it back out into a nested schema. Manuals, datasheets, and reference docs are full of structure — classes, functions, parameters, defaults — laid out for humans, not machines. This pipeline pulls that structure out: convert each PDF to Markdown with docling , LLM-extract a typed summary of the module it documents, and store the result in Postgres. You declare the transformation in native Python and your own types — target_state = transformation(source_state)…from github.com
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