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cocoindex

Name: cocoindex
Rating: 5 (12368 reviews)
Author: davila7

Comprehensive toolkit for developing with the CocoIndex library. Use when users need to create data transformation pipelines (flows), write custom functions, or operate flows via CLI or API. Covers building ETL workflows for AI data processing, including embedding documents into vector databases, building knowledge graphs, creating search indexes, or processing data streams with incremental updates.

TL;DR

Toolkit for building real-time data flows with AI transformations

What Is It

Builds ETL pipelines for AI data processing
Supports live, incremental data updates
Enables vector search, knowledge graphs, and embeddings

Key Features

Incremental processing of changed data
Live sync of source to target updates
Built-in chunking, embedding, and LLM functions
Supports multiple sources and targets
Multiple embedding and LLM options

How to Use

1.Understand data source, transformation, and target needs
2.Set up dependencies with required extras
3.Configure environment with LLM API keys
4.Write flow using FlowBuilder and DataScope

Guardrails & Gotchas

Never create simplified examples without LLM
Always get proper LLM API key
Always validate environment variables

GitHub Stats

Author

@davila7

Repository

davila7/claude-code-templates

Stars

12368

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