Linghua Jin
Cofounder & CEO of CocoIndex
Posts by Linghua Jin
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Index Your Codebase for AI Agents with CocoIndex V1
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.
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CocoIndex V1 is Live!
CocoIndex V1 is live: a ground-up redesign of incremental data pipelines, built for AI engineers and agent builders shipping RAG, memory, and knowledge graphs.
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CocoIndex joins the GitHub Secure Open Source Fund
CocoIndex joined the GitHub Secure Open Source Fund, hardening the AI data infrastructure developers depend on with threat modeling, CodeQL, and audits.
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SEC EDGAR financial analytics with Apache Doris
A multi-format CocoIndex v1 pipeline that ingests SEC filings (TXT, JSON), scrubs PII, extracts topics, and powers hybrid search with Apache Doris.
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Build a Self-Updating Wiki for Your Codebases with an LLM
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.
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Slides-to-speech: narrate presentations automatically
Turn slide decks into a live multimodal dataset with CocoIndex: extract notes with Gemini Vision, narrate with Piper TTS, and keep LanceDB in sync.
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Extract patient intake forms with DSPy and CocoIndex
Extract Pydantic-typed structured data from patient intake forms using DSPy and CocoIndex: OCR vision models with incremental processing.
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A knowledge graph from meeting notes that auto-updates
Build a self-updating knowledge graph from meeting notes: extract decisions, tasks, owners, and relationships from your documents with CocoIndex and an LLM.
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Real-time HackerNews trending topics detector with CocoIndex
Build a real-time HackerNews trending topics detector with CocoIndex: a deep dive into Custom Sources and AI-powered topic extraction.
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Extract HackerNews into Postgres with a custom source
Build a custom incremental HackerNews connector with CocoIndex's Custom Source API and export to Postgres for semantic search and analytics.
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Extracting Intake Forms with BAML and CocoIndex
How to use BAML and CocoIndex to extract structured data from patient intake forms in PDF/Word with LLMs continuously for production.
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AI-Native Data Pipeline - Why We Made It
Why the next wave of AI needs open-source, scalable, AI-native data infrastructure, and how CocoIndex is building the foundation for intelligent data pipelines.
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Index PDF elements with mixed embedding models
Extract, embed, and store multimodal PDF elements (text with SentenceTransformers, images with CLIP) for unified semantic search with traceable metadata.
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Bring your own data: Index any data with Custom Sources
CocoIndex now supports custom sources: read data from any system and keep it incrementally fresh as knowledge for AI agents.
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Iterate faster: trace queries back to source data
Define query handlers in CocoIndex and trace search results back to source data in CocoInsight to close the loop on indexing strategy.
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Incrementally transform Postgres data with AI
Build incrementally updated semantic and structured search over PostgreSQL with CocoIndex, writing pgvector embeddings back to Postgres.
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Index PDFs, images, and slides with ColPali, no OCR
Build a unified visual document index from multiple file formats (including PDFs, images, and slides) using CocoIndex and ColPali. No OCR needed.
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CocoIndex Changelog 2025-08-18
CocoIndex updates: production readiness, scalability, and reliability, plus more customization, native integrations, and multi-modal pipeline features.
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Index Images with ColPali: Multi-Modal Context Engineering
CocoIndex now natively integrates ColPali for multi-vector, patch-level image indexing: multi-modal context engineering for visually rich documents and PDFs.
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Multi-Dimensional Vector Support in CocoIndex
CocoIndex natively handles typed multi-dimensional vectors, from simple arrays to multi-vector embeddings, unlocking multimodal AI pipelines at scale.
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Custom Targets: export your data anywhere
CocoIndex now supports custom targets. Export indexed data to any destination: a local file, cloud storage, a REST API, or your own bespoke system.
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Index faces for visual search: your own Google Photos
Build a scalable face detection and recognition pipeline with CocoIndex: embed faces, structure for search, and export to a vector DB.
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Index academic papers and extract metadata for AI agents
How to index academic research papers by extracting metadata (e.g., title, authors, abstract) for AI agents and AI workflows using LLMs and CocoIndex
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Introducing CocoInsight
Introducing CocoInsight, a data lineage and observability tool that lets you inspect, trace, and debug every step of a CocoIndex pipeline in real time.
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Flow-based schema inference for Qdrant
CocoIndex sets up Qdrant collections automatically by inferring the target schema from your indexing flow: no manual config, vector sizes kept in sync.
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CocoIndex + Kuzu: Real-time knowledge graph with Kuzu
Build a real-time knowledge graph with Kuzu as a native CocoIndex target: incremental updates, high-performance graph queries.
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Real-time data pipeline with S3, SQS, and CocoIndex
Build a real-time data pipeline on Amazon S3 and SQS with CocoIndex: incremental indexing on object storage that reprocesses only changed files.
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Image search in natural language with CLIP
Indexing images with CocoIndex and Vision Model in real-time: multi-modal embedding, and build vector index for efficient retrieval.
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How to build an index with text embeddings
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.
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Story of CocoIndex, at 1k stars 🎉
The story of CocoIndex at 1,000 GitHub stars: the open-source engine that combines custom transformation logic with incremental processing for data indexing.
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Real-time product recommendations with LLM + graph DB
Build a real-time product recommendation engine with an LLM and a graph database, from the aspect of product category (taxonomy) understanding.
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Build Real-Time Knowledge Graph For Documents with LLM
CocoIndex now supports knowledge graphs with incremental processing. Building live knowledge for agents is super easy with CocoIndex!
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Incremental Processing with CocoIndex
CocoIndex helps to keep the index up to date with source changes, super efficient and low latency - with the support of incremental processing.