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Infino

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Embedded retrieval library built on Parquet. Fast, efficient, and scalable.

OSS

Infino

Added 1 Oct 2026

#approximate-nearest-neighbor #bm25 #embedded-database #embeddings #full-text-search #hybrid-search #information-retrieval #nearest-neighbor-search

Overview

Infino is an embedded retrieval library for observability data, built on Parquet. It provides fast, efficient, and scalable data access for applications that need to query columnar data. Written in Rust, it is designed to be integrated directly into applications.

Best for

Best for
Rust developers building embedded observability tooling.

Use cases

  • Embedding log or metric retrieval in Rust services
  • Querying Parquet-based observability data
  • Building lightweight observability tools without external databases

Notes

Infino is an embedded retrieval library for observability data, built on Parquet. It provides fast, efficient, and scalable data access for applications that need to query columnar data. Written in Rust, it is designed to be integrated directly into applications.

84 stars on GitHub. Last updated 2026-10-01. Licensed Apache-2.0.

Use cases

  • Embedding log or metric retrieval in Rust services
  • Querying Parquet-based observability data
  • Building lightweight observability tools without external databases

Pros

  • Fast and efficient due to Parquet’s columnar format
  • Scalable for large datasets
  • Embedded design simplifies deployment

Cons

  • Small community with only 84 stars
  • Rust-only, limiting adoption for non-Rust teams
  • Early-stage project with limited ecosystem maturity

Indexed from awesome-llmops and enriched against its public facts.

Pros

  • Fast and efficient due to Parquet's columnar format
  • Scalable for large datasets
  • Embedded design simplifies deployment

Cons

  • Small community with only 84 stars
  • Rust-only, limiting adoption for non-Rust teams
  • Early-stage project with limited ecosystem maturity
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