Infino AI
An open-source retrieval engine for AI agents that uses Parquet as a single data copy, embeds BM25 and vector indexes, and supports keyword, vector, and hybrid search as well as SQL queries.
Timeline (last 90 days)
Infino AI embeds BM25 and vector indexes directly in Parquet files, with data stored in Parquet format on S3 or local disk.
Infino AI supports multiple retrieval methods against the same data, including keyword search (BM25), vector search, hybrid search, and SQL queries.
Infino AI is open-sourced under the Apache-2.0 license and offers a managed Infino Cloud service with a free tier.
Infino AI received 89 votes and 9 comments on Product Hunt, ranking 15th.
Infino's choice is better suited to scenarios where "the data is already on object storage and retrieval is a downstream consumption."
Embedding indexes into Parquet files reduces data duplication, but poses new engineering challenges for index updates and query performance.
For scenarios where the query pattern is mainly single vector retrieval and the data volume is small, the benefits of adopting Infino may be limited.
Performance metrics such as Infino's query latency, index build efficiency, and ecosystem integration are not disclosed in the public materials, and its actual value needs to be tested in real projects.
All Facts (8)
Performance metrics such as Infino's query latency, index build efficiency, and ecosystem integration are not disclosed in the public materials, and its actual value needs to be tested in real projects.
50%UnverifiedInfino AI supports multiple retrieval methods against the same data, including keyword search (BM25), vector search, hybrid search, and SQL queries.
50%UnverifiedInfino AI is open-sourced under the Apache-2.0 license and offers a managed Infino Cloud service with a free tier.
50%UnverifiedInfino AI embeds BM25 and vector indexes directly in Parquet files, with data stored in Parquet format on S3 or local disk.
50%UnverifiedInfino's choice is better suited to scenarios where "the data is already on object storage and retrieval is a downstream consumption."
50%UnverifiedEmbedding indexes into Parquet files reduces data duplication, but poses new engineering challenges for index updates and query performance.
50%UnverifiedFor scenarios where the query pattern is mainly single vector retrieval and the data volume is small, the benefits of adopting Infino may be limited.
50%UnverifiedInfino AI received 89 votes and 9 comments on Product Hunt, ranking 15th.
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