Linghua Jin
Cofounder & CEO of CocoIndex
Posts by Linghua Jin
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CocoIndex V1 is Live!
CocoIndex V1 is now live. It is a fundamental redesign of how you write incremental data pipelines — built from a year of watching what people actually wanted to do with CocoIndex. CocoIndex V1 is built for AI engineers and agent builders — people building coding intelligence, context, RAG, memory, knowledge-graph that live agents depend on.
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A Leap Forward in Security: CocoIndex Joins GitHub Secure Open Source Fund
CocoIndex joined the GitHub Secure Open Source Fund — strengthening security for the AI data infrastructure developers depend on.
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Building SEC EDGAR Financial Analytics with CocoIndex and Apache Doris
A multi-source pipeline that ingests SEC filings (TXT, JSON, PDF), scrubs PII, extracts topics, and powers hybrid search with CocoIndex + Apache Doris.
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Build a Self-Updating Wiki for Your Codebases with LLM
Automatically generates a wiki page for each project in your codebase, and keeps it fresh with incremental processing.
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Slides-to-speech: turn presentations into narrated content with CocoIndex
Turn slide decks into a continuously updated multimodal dataset — extract speaker notes, synthesize narration, keep LanceDB in sync.
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Extracting Structured Data from 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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Building a Knowledge Graph from Meeting Notes that automatically updates
"Most companies sit on an ocean of meeting notes - inside those documents are decisions, tasks, owners, and relationships — an untapped knowledge graph that is constantly changing.
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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 CocoIndex 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 LLM continuous for production.
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AI-Native Data Pipeline - Why We Made It
Why the next wave of AI needs open source, scalable, and AI-native data infrastructure, and how CocoIndex is building the foundation for the future of intelligent data pipelines.
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Index PDF elements - text, images with mixed embedding models and metadata
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 on indexing: trace queries back to source data
Define query handlers in CocoIndex and trace search results back to source data in CocoInsight — close the loop on indexing strategy.
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Incrementally Transform Structured + Unstructured Data from Postgres with AI
Build unified, incrementally updated search and analytics over structured + unstructured data in PostgreSQL with CocoIndex.
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Index PDFs, images, and slides together with ColPali — no OCR required
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
Featuring production readiness, scalability, and reliability. More flexibility with customization and native integrations. Extended features for multi-modalities pipelines and more.
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Index Images with ColPali: Multi-Modal Context Engineering
CocoIndex now supports native integration with ColPali — enabling multi-vector, patch-level image indexing.
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Multi-Dimensional Vector Support in CocoIndex
CocoIndex natively handles typed multi-dimensional vectors — from simple arrays to multi-vector embeddings, unlocks multimodal AI pipelines at scale.
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Bring your own building blocks: Export anywhere with Custom Targets
CocoIndex now officially supports custom targets — giving you the power to export data to any destination, whether it's a local file, cloud storage, a REST API, or your own bespoke system.
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Indexing faces for visual search — build your own Google Photo Search
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
CocoInsight is a platform for data lineage and data observability.
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Flow-based schema inference for Qdrant
CocoIndex now sets up Qdrant collections automatically by inferring the target schema from your indexing flow — no manual config.
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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 transformation pipeline with S3, SQS, and CocoIndex
Build a real-time data transformation pipeline with Amazon S3 and SQS using CocoIndex — incremental indexing on object storage.
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Build image search and query with natural language with vision model 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 index with text embeddings
Indexing text with CocoIndex and text embeddings, and query it with natural language.
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Story of CocoIndex, at 1k stars 🎉
CocoIndex is the world's first open-source engine that supports both custom transformation logic and incremental processing specialized for data indexing. We just crossed 1k stars, thank you so much!
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Build Real-Time Product Recommendation Engine with LLM and Graph Database
Build a real-time product recommendation engine with LLM and 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 graph with incremental processing. Build live knowledge for agents is super easy with CocoIndex!