CocoIndex is a data pipeline engine that incrementally synchronizes enterprise data changes into fresh context for AI agents and LLM applications. It processes only the changed data delta to keep retrieval-augmented generation indexes current while minimizing computation.
Project overview
CocoIndex is a data pipeline engine that incrementally synchronizes enterprise data changes into fresh context for AI agents and LLM applications. It processes only the changed data delta to keep retrieval-augmented generation indexes current while minimizing computation.
Project type
AI Agent · RAG · Data Processing
Use cases
Knowledge Q&A · Automation
Deployment
Refer to project documentation
License
Apache-2.0
Best for
Developers and AI engineers who need to build enterprise RAG applications and require an incremental data pipeline to keep AI agent memory fresh.
Key capabilities
Only the delta of changes is reprocessed on every data change, minimizing computation while maintaining fresh agent context.
Turns codebases, meeting notes, inboxes, Slack messages, PDFs, and videos into live context for AI agents.
Supports processing with parallel execution enabled by default.
Allows users to define data pipelines declaratively using Python.
Limitations and risks
Interacting with the framework requires coding, specifically utilizing the declarative Python API to define data pipelines.
GPU requirements, operating system compatibility, minimum hardware, telemetry practices, and cost dependencies are not documented.
Getting started
Install the cocoindex package via pip, define your declarative Python pipeline within minutes, and get a production AI agent ready with fresh data.
Evidence and sources
README: Only the Δ (delta) is reprocessed on every change. Keywords: RAG pipeline, agent memory, enterprise retrieval, AI agent context, live indexing, retrieval-augmented generation, pro…
README: CocoIndex turns codebases, meeting notes, inboxes, Slack, PDFs, and videos into live, continuously fresh context for your AI agents and LLM apps to reason over effectively — with…
README: Incremental</b> · only the delta
README: open-source Python framework for RAG, vector search, and live agent context