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Infino puts its search index on object storage for agent retrieval

infino.ai 8 min read Editor score 8/10

Infino stores full-text and vector search indexes in Parquet-based superfiles on S3, GCS or Azure Blob, where random reads incur network round-trips rather than local-disk seeks. The design choices matter to engineers building retrieval systems for agents across large data stores.

What: Infino places its full-text and vector search index in object storage, supporting S3, GCS and Azure Blob Storage.
How: It stores each immutable index unit as one Parquet superfile; manifests and term indexes help locate data while limiting costly object-store requests.
Why it matters: For retrieval systems at scale, minimizing network round trips—not just bytes or CPU—shapes index design.

Infino organizes superfiles into supertables with a manifest and term index. Sketched from the article's own text.

Read on infino.ai → Hacker News · 13 comments

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