Xinference

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