Using large language models for extraction, transformation, and indexing.
Build a pipeline that turns YouTube podcasts into a knowledge graph: extract speakers, statements, and entities with an LLM, then dedupe them with embeddings.
Auto-generate documentation for every project in your codebase: a CocoIndex pipeline writes a wiki page per repo with an LLM, kept fresh as code changes.
Extract Pydantic-typed structured data from patient intake forms using DSPy and CocoIndex: OCR vision models with incremental processing.
Build a self-updating Neo4j knowledge graph from meeting notes with CocoIndex v1: LLM-extracted decisions, tasks, and owners, with embedding-based dedupe.
Rank trending HackerNews topics in Postgres with an incremental CocoIndex v1 pipeline: scrape threads and comments, extract topics with an LLM.
Build a custom CocoIndex source for the HackerNews API: fetch threads and comments in async Python, extract topics with an LLM, keep Postgres in sync.
How to use BAML and CocoIndex to extract structured data from patient intake forms in PDF/Word with LLMs continuously for production.
CocoIndex updates: in-process setup/drop API, EmbedText building block, SplitRecursively improvements, union/NumPy types, and the Kuzu graph target.
An LLM extracts each product's taxonomy and complements; CocoIndex turns the labels into a Neo4j knowledge graph that answers 'bought this, also need…'.
CocoIndex updates: knowledge graph support, Qdrant and Supabase targets, KTable and LTable data types, additional LLM providers, and more.
Turn a folder of Markdown docs into a Neo4j knowledge graph: an LLM extracts subject-predicate-object triples, and CocoIndex keeps the graph in sync as the docs change.
Extract typed Patient records from PDF and DOCX intake forms with an LLM and CocoIndex v1: the nested schema is the whole prompt; results land in Postgres.
First release of CocoIndex Changelog: LLM support, codebase indexing, custom functions, and assorted core/performance improvements
Extract structured data from PDF manuals locally with Ollama and CocoIndex: docling converts PDFs to Markdown, a local LLM fills typed Postgres rows.