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, updates on query handling, standalone, and more.
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CocoIndex Changelog 2025-04-30
CocoIndex updates: Knowledge Graphs, Qdrant, Supabase, KTable/LTable, and more LLM providers.
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CocoIndex Changelog 2025-04-07
CocoIndex updates: Incremental processing with live update mode, evaluation utilities, support for date/time types, Google Drive, and assorted 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 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/Word with LLM by CocoIndex.
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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 semantics 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 extracting 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 the world's first open-source engine that supports both custom transformation logic and incremental processing specialized for data indexing. We are now officially open sourced!
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Customizable Data Indexing Pipelines
Explain what customizable data indexing pipelines are through comparisons and 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.