What is CocoIndex?
CocoIndex is introduced as the world's first open-source engine designed specifically for data indexing, incorporating both custom transformation logic and incremental update capabilities. It aims to simplify the creation and maintenance of data pipelines by handling complexities often encountered in conventional indexing processes. Users can define data flows and transformations, and the engine manages execution, lineage, and observability, making the pipelines easier to understand and troubleshoot.
The platform automates tasks such as setting up and maintaining table schemas for indexing, reprocessing only necessary data portions while utilizing cache, ensuring data freshness by clearing stale information, and re-indexing based on data or logic changes. CocoIndex supports different operational scenarios, including sample-based previews for development, large-scale batch processing, and continuous updates for low-latency index maintenance. It is built to be scalable and robust for production environments.
Features
- Incremental Indexing: Automatically updates indexes based on data or logic changes, maintaining data freshness.
- Custom Transformation Logic: Define data processing flows using Python or TypeScript.
- Built-in Lineage and Observability: Provides tools to understand and troubleshoot data pipelines.
- Multiple Run Modes: Supports sample previews for development, large-scale batch processing, and continuous low-latency updates.
- Component Ecosystem: Includes ingestion connectors, parsing tools, extraction/splitting methods (chunking, knowledge graph), reconciliation features, and indexing options (vector, graph, relational, object stores).
Use Cases
- Building data pipelines for Retrieval-Augmented Generation (RAG) systems.
- Creating efficient and up-to-date search applications.
- Developing scalable data analytics pipelines.
- Managing and indexing diverse data sources like web pages, documents, and databases.
- Automating the maintenance and incremental updating of data indexes.
- Implementing custom data transformation logic for specialized indexing needs.
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CocoIndex Uptime Monitor
Average Uptime
100%
Average Response Time
132.73 ms
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