CocoIndex Team
The team behind CocoIndex
Posts by CocoIndex Team
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CocoIndex Changelog 2025-07-07
CocoIndex updates: in-process API, CLI improvements, EmbedText support, codebase indexing enhancements, and more.
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CocoIndex Changelog 2025-05-31
CocoIndex updates: Amazon S3 as a data source, improved query handling, a standalone runtime mode, and more connector and performance improvements.
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CocoIndex Changelog 2025-04-30
CocoIndex updates: knowledge graph support, Qdrant and Supabase targets, KTable and LTable data types, additional LLM providers, and more.
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CocoIndex Changelog 2025-04-07
CocoIndex updates: incremental processing with live update mode, evaluation utilities, date/time types, a Google Drive source, and core performance improvements.
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Continuous update derived data on source updates, automatically
CocoIndex continuously watches source changes and keeps derived data in sync, with low latency and minimal performance overhead.
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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.
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Structured Extraction from Patient Intake Form with LLM
Extract structured data from patient intake forms in PDF and Word documents using an LLM and CocoIndex: a practical healthcare document extraction example.
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Build text embeddings from Google Drive for RAG
Tutorial to create text embeddings from docs on Google Drive, save in vector stores for semantic search / RAG, using CocoIndex.
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CocoIndex Changelog 2025-03-20
First release of CocoIndex Changelog: LLM support, codebase indexing, custom functions, and assorted core/performance improvements
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Build Real-Time Codebase Indexing for AI Code Generation
Indexing codebase for RAG with CocoIndex and Tree-sitter in real-time: chunking, embedding, semantic search, and build vector index for efficient retrieval.
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On-premise structured extraction with LLM using Ollama
Learn to use CocoIndex to extract structured data from PDF/Markdown with Ollama's local LLM models. All running on premise without sending data to external APIs.
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We are officially open sourced! 🎉
CocoIndex is now open source: the first engine to combine custom transformation logic with incremental processing built specifically for data indexing.
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Customizable Data Indexing Pipelines
What customizable data indexing pipelines are, and why custom transformation logic matters, explained through clear comparisons and practical CocoIndex examples.
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What Makes Indexing Pipelines Different?
What makes indexing pipelines different from other data systems, and why they need special handling for incremental processing and persistence.
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Handling System Updates and CocoIndex Automatic Schema Inference
How CocoIndex handles system updates in indexing flows: automatic schema inference and managing data + logic evolution without downtime.
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Processing Large Files in Data Indexing Systems
Handle large files in data indexing: processing granularity, fan-in/fan-out, and memory pressure, walked through a patent XML example in CocoIndex.
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Data Consistency in Indexing Pipelines
Data consistency in indexing pipelines: concurrent updates, exposure risks, and how CocoIndex's data-driven approach keeps indexes converging.
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Data Indexing and Common Challenges
Fundamentals of data indexing pipelines for RAG: what makes a good one, common production pitfalls, and how CocoIndex addresses them.
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CocoIndex - A Data Indexing Platform for AI Applications
CocoIndex is a data indexing platform for AI applications: ingestion, processing, and management for RAG and semantic search.
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Welcome to CocoIndex
Welcome to the official CocoIndex blog! We're excited to share our journey in building high-performance indexing infrastructure for AI applications.