Turning documents, PDFs, and free text into typed, structured data.
Build a pipeline that turns YouTube podcasts into a knowledge graph: extract speakers, statements, and entities with an LLM, then dedupe them with embeddings.
A multi-format CocoIndex v1 pipeline that ingests SEC filings (TXT, JSON), scrubs PII, extracts topics, and powers hybrid search with Apache Doris.
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.
CocoIndex updates: production-ready resilience, a structured error system, expanded integrations, and always-fresh context for agents.
Extract Pydantic-typed structured data from patient intake forms using DSPy and CocoIndex: OCR vision models with incremental processing.
Rank trending HackerNews topics in Postgres with an incremental CocoIndex v1 pipeline: scrape threads and comments, extract topics with an LLM.
How to use BAML and CocoIndex to extract structured data from patient intake forms in PDF/Word with LLMs continuously for production.
Production-ready upgrades: durable execution, faster incremental processing over large datasets, GPU isolation, and richer native building blocks.
Incremental ETL from Azure Blob Storage to Snowflake with CocoIndex v1: LLM invoice extraction from PDFs, processing only new or changed files.
Index academic papers with CocoIndex: read the first page of each PDF, extract title, authors, and abstract with an LLM, and embed them for semantic search.
An LLM extracts each product's taxonomy and complements; CocoIndex turns the labels into a Neo4j knowledge graph that answers 'bought this, also need…'.
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.
CocoIndex updates: incremental live update mode, evaluation utilities, date/time types, a Google Drive source, and core performance improvements.
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.