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ai-agent

fastembed-rs: Ultra-Fast Vector Embeddings in Rust

Lightning-quick local embedding and reranking for AI agents and retrieval-augmented generation projects. Perfect for Rust developers building intelligent search and recommendation systems.
908 stars129 forksRustUpdated 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
  1. 1Add fastembed to Cargo.toml: `fastembed = "latest_version"`
  2. 2Import the embedding model in your Rust code
  3. 3Generate vector embeddings for your text corpus
  4. 4Use embeddings for semantic search or clustering
Ready-to-paste prompt
EmbeddingModel::from_pretrained(Model::BGESmall).embed(vec!["search query"])

Topics

embeddings
fastembed
rag
reranker
reranking
retrieval
retrieval-augmented-generation
vector-search
Quick Actions
Details
Creator
Anush008
Language
Rust
Category
ai-agent
Published
10/1/2023

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