# Infino AI

> Infino AI is a unified retrieval engine that combines keyword, vector, and hybrid search on a single copy of data stored as Parquet files. It is built for AI agents and developers who need to run complex, multi-step queries without managing separa...

- Type: AI tool
- Page: https://completeaitraining.com/ai-tools/infino-ai/
- Published: 2026-11-02
- Updated: 2026-11-04
- Author: Jeroen Erne
- Jobs: IT and development
- Topics: Developer Tools, API
- Reading time: 2 min

### About Infino AI

Infino is an open-source retrieval engine built for AI agents, licensed under Apache-2.0. It stores data as Parquet files on S3 or local disk, embedding BM25 and vector indexes directly inside those files. A single engine runs keyword, vector, hybrid, and SQL search over that one copy of data, and search results return as SQL tables that can be joined and aggregated.

### Review

Infino tackles a specific pain point for teams building agent-driven applications: the fragmentation that happens when keyword, vector, and analytical queries each require their own data copy in a separate system. By collapsing those retrieval paths onto a single Parquet copy, it removes the need to sync multiple stores. The engine is available as an open-source local install, an MCP server for tools like Claude Code or Cursor, and a hosted cloud version with a free tier.

#### Key Features

- **Single-copy storage.** Data lives in standard Parquet files that any Parquet reader can still open, with BM25 and vector indexes stored inside the same files.
- **Multi-mode search.** One engine executes keyword, vector, and hybrid search, and surfaces results as SQL tables you can join and aggregate.
- **MCP server for agents.** The Infino MCP server lets Claude Code or Cursor query your data directly, matching the tool's focus on agent workloads.
- **Local and cloud deployment.** Install via pip or npm for local use, or start with Infino Cloud's free tier. The open-source engine is on GitHub under Apache-2.0.
- **ClickBench ranking.** When filtered to search engines on the ClickBench benchmark, Infino ranks first for the combined SQL analytics metric, ahead of Elasticsearch, Quickwit, ParadeDB, and SigLens.

#### Pricing and Value

Infino Cloud is generally available and includes a free tier. Specific usage limits, paid plan pricing, and what the free tier covers are not yet defined in the available reference material. The open-source engine has no usage cost, and the team has raised $7.5M in funding. For small teams, the single-copy design reduces the operational overhead of keeping multiple data stores in sync.

#### Pros

- Stores everything in Parquet, so existing tools that read Parquet can still access your data without lock-in.
- Combines keyword, vector, hybrid, and SQL search in one engine instead of stitching together multiple systems.
- Results are SQL tables, which makes it practical to join search output with original rows for explainability.
- Open-source Apache-2.0 license gives teams full control over self-hosted deployments.
- MCP server integration aligns with how agent coding tools already operate.

#### Cons

- Index update behavior when underlying Parquet data changes is not yet documented in detail, which leaves a question mark for write-heavy pipelines.
- The project just launched this week, so the ecosystem of integrations, community plugins, and long-term production stories is still thin.
- Not well suited for teams that don't use Parquet as their primary data format or who need real-time ingestion with sub-second freshness guarantees out of the box.

Infino fits teams already storing data in Parquet who are building agent applications that mix text search, vector similarity, and analytical queries. It's also a practical starting point for developers wanting to try retrieval-augmented workflows in Claude Code or Cursor without setting up separate search infrastructure. Organizations with heavy write workloads or non-Parquet data lakes may want to wait until index mutation patterns are clearer.

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