New features and improvements in CocoIndex.
CocoIndex V1 is now live. It is a fundamental redesign of how you write incremental data pipelines — built from a year of watching what people actually wanted to do with CocoIndex. CocoIndex V1 is built for AI engineers and agent builders — people building coding intelligence, context, RAG, memory, knowledge-graph that live agents depend on.
Build a custom incremental HackerNews connector with CocoIndex's Custom Source API and export to Postgres for semantic search and analytics.
CocoIndex now batches GPU and ML workloads automatically — 5x throughput on text embeddings and AI ops, with zero configuration required.
Extract, embed, and store multimodal PDF elements — text with SentenceTransformers, images with CLIP — for unified semantic search with traceable metadata.
CocoIndex now supports custom sources — read data from any system and keep it incrementally fresh as knowledge for AI agents.
Learn how CocoIndex's layered concurrency control features help you optimize data processing performance, prevent system overload, and ensure stable, efficient pipelines at scale.
CocoIndex now supports native integration with ColPali — enabling multi-vector, patch-level image indexing.
CocoIndex natively handles typed multi-dimensional vectors — from simple arrays to multi-vector embeddings, unlocks multimodal AI pipelines at scale.
CocoIndex now officially supports custom targets — giving you the power to export data to any destination, whether it's a local file, cloud storage, a REST API, or your own bespoke system.
CocoInsight is a platform for data lineage and data observability.
CocoIndex now sets up Qdrant collections automatically by inferring the target schema from your indexing flow — no manual config.
Build a real-time knowledge graph with Kuzu as a native CocoIndex target — incremental updates, high-performance graph queries.
CocoIndex continuously watches source changes and keeps derived data in sync, with low latency and minimal performance overhead.
CocoIndex helps to keep index up to date with source changes, super efficient and low latency - with the support of incremental processing.
How CocoIndex handles system updates in indexing flows: automatic schema inference and managing data + logic evolution without downtime.