qiming/qiming-mcp-proxy/fastembed/README.md

FastEmbed

English | 简体中文

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FastEmbed

Text embedding HTTP service using FastEmbed library for efficient text vectorization.

Overview

fastembed is a high-performance text embedding service built with Rust, providing HTTP API for text vectorization using FastEmbed.

Features

• FastEmbed Integration: Uses FastEmbed 5.0 with ONNX runtime
• HTTP API: RESTful API for text embedding
• Concurrent Processing: DashMap for efficient concurrent operations
• OpenAPI Documentation: Auto-generated API docs
• Multiple Models: Support for various embedding models

Quick Start

Installation

# Build from source
cargo build --release -p fastembed

# Binary location
ls target/release/fastembed

Usage

# Start server (default port 8080)
fastembed server

# Specify custom port
fastembed server --port 8081

API Usage

# Generate embeddings
curl -X POST http://localhost:8080/embed \
  -H "Content-Type: application/json" \
  -d '{
    "texts": ["Hello world", "Fast embedding"],
    "model": "BAAI/bge-small-en-v1.5"
  }'

Supported Models

• BAAI/bge-small-en-v1.5 - Fast English model (384 dimensions)
• BAAI/bge-base-en-v1.5 - Balanced English model (768 dimensions)
• BAAI/bge-large-en-v1.5 - High-quality English model (1024 dimensions)

Development

# Build
cargo build -p fastembed

# Test
cargo test -p fastembed

License

MIT OR Apache-2.0

Contributing

Issues and Pull Requests are welcome!