Step-by-step guides for building pipelines with CocoIndex.
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 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.
Incremental ETL from Azure Blob Storage to Snowflake with CocoIndex v1: LLM invoice extraction from PDFs, processing only new or changed files.
Export CocoIndex data anywhere: implement a TargetHandler with a tracking record and an action sink; the engine handles diffing, syncing, and cleanup.
Build a scalable face detection and recognition pipeline with CocoIndex: embed faces, structure for search, and export to a vector DB.
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.
Search a folder of photos by meaning with CocoIndex v1: CLIP embeds images and text into one vector space, the index runs live inside a FastAPI app, and vectors live in Qdrant.
Text embeddings 101: what they are, why you chunk and embed, and how to build a semantic search index with CocoIndex v1 and Postgres pgvector.
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.
Indexing codebase for RAG with CocoIndex and Tree-sitter in real-time: chunking, embedding, semantic search, and build vector index for efficient retrieval.
Extract structured data from PDF manuals locally with Ollama and CocoIndex: docling converts PDFs to Markdown, a local LLM fills typed Postgres rows.