Worked examples and implementation guides for CocoIndex.
Index a codebase for RAG and AI coding agents with CocoIndex V1 and Tree-sitter: language-aware chunking, embedding, and a live vector index in async Python.
Walk through a live CocoIndex pipeline that watches a folder of CSV files and publishes each row as JSON to a Kafka topic incrementally, with no glue code.
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-source pipeline that ingests SEC filings (TXT, JSON, PDF), scrubs PII, extracts topics, and powers hybrid search with CocoIndex + 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.
Turn slide decks into a live multimodal dataset with CocoIndex: extract notes with Gemini Vision, narrate with Piper TTS, and keep LanceDB in sync.
Extract Pydantic-typed structured data from patient intake forms using DSPy and CocoIndex: OCR vision models with incremental processing.
Build a self-updating knowledge graph from meeting notes: extract decisions, tasks, owners, and relationships from your documents with CocoIndex and an LLM.
Build a real-time HackerNews trending topics detector with CocoIndex: a deep dive into Custom Sources and AI-powered topic extraction.
Build a custom incremental HackerNews connector with CocoIndex's Custom Source API and export to Postgres for semantic search and analytics.
How to use BAML and CocoIndex to extract structured data from patient intake forms in PDF/Word with LLMs continuously for production.
Extract, embed, and store multimodal PDF elements (text with SentenceTransformers, images with CLIP) for unified semantic search with traceable metadata.
Extract invoice fields from PDFs in Azure Blob Storage into Snowflake with an incremental CocoIndex + GPT-4o pipeline: open-source unstructured ETL.
Define query handlers in CocoIndex and trace search results back to source data in CocoInsight to close the loop on indexing strategy.
Build incrementally updated semantic and structured search over PostgreSQL with CocoIndex, writing pgvector embeddings back to Postgres.
Build a unified visual document index from multiple file formats (including PDFs, images, and slides) using CocoIndex and ColPali. No OCR needed.
CocoIndex now natively integrates ColPali for multi-vector, patch-level image indexing: multi-modal context engineering for visually rich documents and PDFs.
CocoIndex now supports custom targets. Export indexed data to any destination: a local file, cloud storage, a REST API, or your own bespoke system.
Build a scalable face detection and recognition pipeline with CocoIndex: embed faces, structure for search, and export to a vector DB.
How to index academic research papers by extracting metadata (e.g., title, authors, abstract) for AI agents and AI workflows using LLMs and CocoIndex
Build a real-time knowledge graph with Kuzu as a native CocoIndex target: incremental updates, high-performance graph queries.
Build a real-time data pipeline on Amazon S3 and SQS with CocoIndex: incremental indexing on object storage that reprocesses only changed files.
Indexing images with CocoIndex and Vision Model in real-time: multi-modal embedding, and build vector index for efficient retrieval.
Build a semantic text index with CocoIndex and text embeddings, then query it with natural language: a beginner's guide to embeddings and vector search.
Build a real-time product recommendation engine with an LLM and a graph database, from the aspect of product category (taxonomy) understanding.
CocoIndex now supports knowledge graphs with incremental processing. Building live knowledge for agents is super easy with CocoIndex!
Extract structured data from patient intake forms in PDF and Word documents using an LLM and CocoIndex: a practical healthcare document extraction example.
Step-by-step tutorial to build text embeddings from Google Drive docs with CocoIndex and store them in Postgres for semantic search and RAG.
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/Markdown with CocoIndex and Ollama's local LLMs, running on premise without sending data to external APIs.