ai-agent

fastembed-rs: Generate Embeddings

Name: fastembed-rs: Generate Embeddings
Author: Anush008

Get vector embeddings and reranking for your app with fastembed-rs, a Rust library for founders and developers.

908 stars129 forksRustQuality 8/10Updated 5/30/2026100% free · open source

What it does

Generates ultra-fast vector embeddings and enables local semantic search and text ranking for AI applications without external dependencies.

When to use it

•Building search functionality in a Rust-based AI product
•Creating intelligent recommendation systems with local processing
•Developing RAG (retrieval-augmented generation) pipelines that require efficient text embedding

Quick start

1Add fastembed to Cargo.toml: `fastembed = "latest_version"`
2Import the embedding model in your Rust code
3Generate vector embeddings for your text corpus
4Use embeddings for semantic search or clustering

Ready-to-paste prompt

EmbeddingModel::from_pretrained(Model::BGESmall).embed(vec!["search query"])

Saves to your device

Topics

embeddings

fastembed

rag

reranker

reranking

retrieval

retrieval-augmented-generation

vector-search

What's inside — free to inspect

No purchase needed

Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.

top-level files

folders

735K

repo size

Apache-2.0

license

Key files

README.md

File tree

.github/

src/

tests/

.envrc

.gitignore

.releaserc

Cargo.toml

flake.lock

flake.nix

LICENSE

README.md

Quick Actions

Details

Creator

Anush008

Language

Rust

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