# Xinference

> Open-source platform for serving LLMs, embedding models, and multimodal models with OpenAI-compatible APIs, distributed deployment, and automatic batching for scalable AI model inference.

- **URL:** https://inference.readthedocs.io/
- **Category:** LLM Tools
- **Tags:** model-serving, Embeddings, inference
- **Updated:** 2026-03-22 13:39
- **Canonical page:** https://vectordb.ever.works/ko/items/xinference

## Details

## Overview

Xinference (Xorbits Inference) is a powerful platform designed to serve language, speech recognition, and multimodal models. It enables running inference using any open-source LLMs, embedding models, and multimodal models either in the cloud or on-premises.

## Key Features for Vector Embeddings

- **Embedding Support**: Creates text embeddings for vector search applications
- **LangChain Integration**: XinferenceEmbeddings class for seamless integration
- **Multiple Models**: Supports various embedding models for different use cases

## Inference Capabilities

- **OpenAI-Compatible API**: RESTful API including Function Calling
- **Multiple Interfaces**: RPC, CLI, and WebUI for model management
- **Distributed Deployment**: Seamless distribution across multiple devices or machines
- **Automatic Batching**: Concurrent requests automatically batched for higher throughput

## Architecture

XorbitsAI builds production-ready infrastructure for:
- Model Inference at scale
- AI Agent orchestration
- Intelligent system deployment

## Platform Support

- Cloud deployment
- On-premises installation
- Edge computing scenarios

## Use Cases

- Large-scale embedding generation
- Multi-model AI applications
- Enterprise LLM deployment
- Vector search pipelines
- Distributed AI inference

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