LanceDB
@lancedb
The multimodal lakehouse for AI, accelerating large-scale data curation and feature engineering so teams can build better models faster.
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A great blog written by @loldedxd & @ariG23498 🤗👏
funes, by @huggingface, turns past agent sessions into memory your agents can actually use.
It indexes Claude Code, Codex, pi, and Hermes traces into one local Lance dataset, then gives the agent 'recall' and 'get' tools.
The next time a task depends on old reasoning, the agent can pull the original passage back. No LLM summarizing your traces at ingest.
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We’re starting a new series called Feature of the Week 🎉
This week’s feature by @Yah01_: Index prewarm now reads in parallel bytes windows. Loading a billion-vector index into memory used to take 95 minutes, now it takes 3.
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Lance is now natively supported in 🤗 @huggingface LeRobot.
Ingest through train directly from S3, GCS, or HF Storage Buckets with the same LeRobotDataset API and true global shuffle. No need to download the full robotics dataset first.
Big thanks to @Caro_Nahkriin and @lhoestq for working with us to get this merged!
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Weston Pace (Software Engineer @ LanceDB, Apache Arrow and Substrait PMC) keynotes CDMS 2026 on how composable data systems hold up when the users are agents and, increasingly, so are the contributors.
Sept 4, Boston, co-located with VLDB 2026
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