CocoIndex version updates and feature changes.
CocoIndex's first post-v1 releases: stable memoization keys, scheduled live refresh, scoped stats, safer SQL connectors, and more integrations.
Featuring five new target connectors, filesystem-level change detection, Python 3.14 free-threading, and smarter pipeline lifecycle management.
CocoIndex updates: production-ready resilience, a structured error system, expanded integrations, and always-fresh context for agents.
Featuring batching support for CocoIndex functions, execution robustness, schema & type system improvements, custom source support, and more.
Production-ready upgrades: durable execution, faster incremental processing over large datasets, GPU isolation, and richer native building blocks.
CocoIndex updates: production readiness, scalability, and reliability, plus more customization, native integrations, and multi-modal pipeline features.
CocoIndex updates: in-process setup/drop API, EmbedText building block, SplitRecursively improvements, union/NumPy types, and the Kuzu graph target.
CocoIndex updates: Amazon S3 as a data source, improved query handling, a standalone runtime mode, and more connector and performance improvements.
The story of CocoIndex at 1,000 GitHub stars: the open-source engine that combines custom transformation logic with incremental processing for data indexing.
CocoIndex updates: knowledge graph support, Qdrant and Supabase targets, KTable and LTable data types, additional LLM providers, and more.
CocoIndex updates: incremental live update mode, evaluation utilities, date/time types, a Google Drive source, and core performance improvements.
First release of CocoIndex Changelog: LLM support, codebase indexing, custom functions, and assorted core/performance improvements
CocoIndex is now open source: the first engine to combine custom transformation logic with incremental processing built specifically for data indexing.