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Pharos is a live demo of Infino serving the OpenAlex scholarly corpus from 2018 to 2025, nearly 100 million works, as tables on a storage bucket. The papers are plain Parquet with BM25 and vector indexes built in. Search them three ways, then aggregate over the results in a single SQL pass. There is no search cluster, no vector database, and no warehouse behind it, just files in a bucket.

Open Pharos

Runs in the browser, no login. Query nearly 100 million papers straight off object storage.

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What to try

  • Search a topic like graph neural networks and read the ranked papers. Keyword results come back in milliseconds.
  • Switch the mode between keyword, semantic, and hybrid to see how the ranking shifts for the same query.
  • Narrow the year range to watch results come back from a single yearly partition.
  • Open the insights tab to aggregate over the matched papers in one SQL round trip: counts by year and country, average citations and field-weighted impact, open-access share.
  • Open under the hood to see the schema, sample rows, and the Parquet layout Infino keeps on the bucket.

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How Infino powers it

Every year of the corpus is one Infino table, stored as Parquet on the bucket with its full-text and vector indexes alongside. A query reads only the bytes it needs, so the corpus grows with the bucket instead of a cluster.
Last modified on September 28, 2026