Search, vectors and SQL over one Parquet copy, for agents
Infino is an open-source retrieval engine for AI agents. It keeps one copy of your data as Parquet on S3 or local disk, with BM25 and vector indexes inside the files. Agents run keyword, vector, hybrid and SQL search on it. Apache-2.0. Infino Cloud is generally available, with a free tier.
Hi Product Hunt 👋 We're the team behind Infino. We built search and ML systems at Google, LinkedIn and Amazon, including AWS OpenSearch, and we just raised $7.5M from Bessemer to build one retrieval layer for agents.
Agents don't query like people. One question becomes dozens of keyword lookups, vector searches, filters and joins, and today each of those lives in a different system with its own copy of the data.
Infino keeps one copy. Your data stays as Parquet on S3 (or local disk), with the BM25 and vector indexes stored inside the same files. Any Parquet reader can still open them. On top, one engine runs keyword, vector and hybrid search, and search results are SQL tables you can join and aggregate.
Try it in 30 seconds:
No install: watch Claude Code answer the same question on Infino, Elastic and Snowflake side by side in our live demo, or point it at your own files
Local: pip install infino or npm install @infino-ai/infino
For agents: the Infino MCP server, so Claude Code or Cursor can search your data directly
One number we're proud of: filtered to the search engines on ClickBench, Infino ranks #1 for SQL analytics (combined metric), ahead of Elasticsearch, Quickwit, ParadeDB and SigLens. See the board
The engine is Apache-2.0 on GitHub. We'd love your hardest retrieval questions, and we're here all day to answer them.
About Infino AI on Product Hunt
“Search, vectors and SQL over one Parquet copy, for agents”
Infino AI launched on Product Hunt on November 3rd, 2026 and earned 0 upvotes and 3 comments, placing #21 on the daily leaderboard. Infino is an open-source retrieval engine for AI agents. It keeps one copy of your data as Parquet on S3 or local disk, with BM25 and vector indexes inside the files. Agents run keyword, vector, hybrid and SQL search on it. Apache-2.0. Infino Cloud is generally available, with a free tier.
On the analytics side, Infino AI competes within Developer Tools, Artificial Intelligence, GitHub and Database — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Infino AI performed against the three products that launched closest to it on the same day.
Who hunted Infino AI?
Infino AI was hunted by Ashish Mishra. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Infino AI including community comment highlights and product details, visit the product overview.
Ashish Mishra
Hi Product Hunt 👋 We're the team behind Infino. We built search and ML systems at Google, LinkedIn and Amazon, including AWS OpenSearch, and we just raised $7.5M from Bessemer to build one retrieval layer for agents.
Agents don't query like people. One question becomes dozens of keyword lookups, vector searches, filters and joins, and today each of those lives in a different system with its own copy of the data.
Infino keeps one copy. Your data stays as Parquet on S3 (or local disk), with the BM25 and vector indexes stored inside the same files. Any Parquet reader can still open them. On top, one engine runs keyword, vector and hybrid search, and search results are SQL tables you can join and aggregate.
Try it in 30 seconds:
No install: watch Claude Code answer the same question on Infino, Elastic and Snowflake side by side in our live demo, or point it at your own files
Local: pip install infino or npm install @infino-ai/infino
For agents: the Infino MCP server, so Claude Code or Cursor can search your data directly
Hosted: Infino Cloud, free to start
One number we're proud of: filtered to the search engines on ClickBench, Infino ranks #1 for SQL analytics (combined metric), ahead of Elasticsearch, Quickwit, ParadeDB and SigLens. See the board
The engine is Apache-2.0 on GitHub. We'd love your hardest retrieval questions, and we're here all day to answer them.