Jump to Content

Documentation API Reference

Web Playground Log In

Documentation

Web Playground Log In

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 2 months ago