Infino AI - 2026 Pricing, Features, Reviews & Alternatives

Infino AI is an open-source retrieval engine that writes full-text BM25 and vector IVF indexes directly into spec-compliant Apache Parquet files on object storage. Data engineering and AI/ML teams can execute full-text search, vector similarity search, and SQL queries in a single statement against the same bytes, with no data duplication, no separate search cluster, and no vector database required. Deployable on cloud object storage or on-premises, Infino AI targets organizations running large-scale search and retrieval workloads on existing data lake table formats including Iceberg, Delta Lake, and Hudi.

The platform delivers hybrid search by combining BM25 full-text and vector retrieval in a single query via a DataFusion-based reader, eliminating client-side merging. Elasticsearch Query DSL compatibility allows existing OpenSearch and Elasticsearch clients to connect without modification. Interoperability extends to Snowflake, Databricks, DuckDB, Trino, and ClickHouse, all of which can read the same Parquet files natively. Schema evolution and time travel support are included at the table level across all three major open table formats.

For teams building AI agent pipelines in regulated or sensitive environments, Infino AI provides a governed execution layer with full audit trails, immutable lineage, and centralized role-based access control. This architecture supports auditable agentic retrieval pipelines while reducing compute, data transfer, and token costs at scale, making it applicable to data infrastructure, AI/ML, and compliance-sensitive industries.