Performance
9 articles
Throughput, batching, and efficiency of indexing pipelines.
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CocoIndex Changelog 1.0.8 - 1.0.16
Changelog for CocoIndex 1.0.8-1.0.16: persistent per-component state, LiveMap, rate limiting, batched target writes, BigQuery and Snowflake connectors.
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CocoIndex Changelog 1.0.1 - 1.0.7
CocoIndex's first post-v1 releases: stable memoization keys, scheduled live refresh, scoped stats, safer SQL connectors, and more integrations.
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CocoIndex Changelog 0.3.27 - 0.3.34
Featuring five new target connectors, filesystem-level change detection, Python 3.14 free-threading, and smarter pipeline lifecycle management.
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CocoIndex Changelog 0.2.21 - 0.3.10
Featuring batching support for CocoIndex functions, execution robustness, schema & type system improvements, custom source support, and more.
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Adaptive Batching - 5x throughput on your data pipelines
CocoIndex now batches GPU and ML workloads automatically: 5x throughput on text embeddings and AI ops, with zero configuration required.
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CocoIndex Changelog 2025-08-18
CocoIndex updates: production readiness, scalability, and reliability, plus more customization, native integrations, and multi-modal pipeline features.
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Control Processing Concurrency in CocoIndex
How CocoIndex's layered concurrency controls optimize data-processing performance, prevent system overload, and keep pipelines stable and efficient at scale.
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Incremental Processing with CocoIndex
Learn how CocoIndex keeps indexes current with source changes through cached processing, dependency tracking, and change detection.
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Processing Large Files in Data Indexing Systems
Handle large files in data indexing: processing granularity, fan-in/fan-out, and memory pressure, walked through a patent XML example in CocoIndex.