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AI · April 23, 2025

CocoIndex – Open-Source Data framework for AI, built for data freshness

Hi HN, I’ve been working on CocoIndex, an open-source Data ETL framework to transform data for AI, optimized for data freshness. You can start a CocoIndex project with `pip install cocoindex` and declare a data flow that can build ETL like LEGO - build a RAG pipeline for vector embeddings, knowledge graphs, or extract, transform data with LLMs. It is a data processing framework beyond text. When you run the data flow either with live mode or batch mode, it will process the data incrementally with minimal recomputation and make it super fast to update the target stores on source changes. Get…

CocoIndex – Open-Source Data framework for AI, built for data freshness launched on April 23, 2025 with 14 votes, #1,902 of 7,818 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.

Visit github.com ↗Alternativestop 24% of April 2025

In plain words

CocoIndex is an open-source data ETL framework designed to transform and prepare data for AI applications with a focus on keeping data fresh. Built with a modular approach similar to LEGO blocks, it enables users to construct data pipelines for RAG systems, vector embeddings, knowledge graphs, and data extraction or transformation using LLMs. The framework processes data incrementally in both live and batch modes, minimizing redundant computation and enabling fast updates to target stores when source data changes. It handles multiple data types beyond text.

written from the facts on this page · September 2026

From the sources

Incremental engine for long horizon agents 🌟 Star if you like it! - cocoindex-io/cocoindex

In the maker’s words, at launch

Hi HN, I’ve been working on CocoIndex, an open-source Data ETL framework to transform data for AI, optimized for data freshness. You can start a CocoIndex project with `pip install cocoindex` and declare a data flow that can build ETL like LEGO - build a RAG pipeline for vector embeddings, knowledge graphs, or…

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