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Documentation API Reference

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Documentation

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Documentation API Reference

Getting Started

Introduction
Quickstart
OpenAI compatibility

Inference

Serverless models
Dedicated models
Serverless LoRA Inference

Capabilities

Chat
Images
- Quickstart: Flux Tools Models
Vision
Code/Language
Rerank
- QuickStart: LlamaRank
Embeddings
- RAG Integrations
CodeSandbox SDK (Code execution)

Training

Fine-tuning
GPU Clusters

Examples

Together Cookbooks
Example Apps

Guides

Together Mixture-Of-Agents (MoA)
How to build an AI search engine (OSS Perplexity Clone)
Building an AI data analyst
How to build a Claude Artifacts Clone with Llama 3.1 405B
Using Vercel's AI SDK with Together AI
Fine-tuning Llama-3 to get 90% of GPT-4’s performance
How to build a real-time image generator with Flux and Together AI
How to build an Open Source NotebookLM: PDF to Podcast
Building a RAG Workflow
How to Improve Search with Rerankers
How to Implement Contextual RAG from Anthropic
How to build an Interactive AI Tutor with Llama 3.1
Next.js Quickstart
Quickstart: Retrieval Augmented Generation (RAG)

frequently asked questions

Deployment Options
Rate limits
Error codes
Dedicated Endpoints
- Dedicated Endpoints API
- Dedicated Endpoints Dashboard
Priority Support
- Create tickets in Slack
- Customer Ticket Portal
Deprecations
Playground
Inference FAQs
Fine-tuning FAQs

Examples

Use these examples to learn best practices for using the inference API.

Together Mixture-Of-Agents (MoA)
Building an AI data analyst
How to build a Claude Artifacts Clone with Llama 3.1 405B

Updated about 2 months ago