together-embeddings
CommunityGenerate text embeddings with Together AI.
Data & Analytics#embeddings#rag#multilingual#vector-search#semantic-similarity#model-usage#retrieval-augmentation
Authorzainhas
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Generate vector embeddings for text to enable semantic search, similarity, and retrieval-augmented generation with Together AI.
Core Features & Use Cases
- Generate text embeddings using the Multilingual E5 model for multilingual retrieval.
- Use embeddings for vector search, RAG pipelines, and semantic similarity.
- Access dedicated rerank endpoints when needed for ranking documents.
Quick Start
Provide a list of texts and call the embeddings API to obtain vector representations for downstream retrieval tasks.
Dependency Matrix
Required Modules
togethertogether-ai
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: together-embeddings Download link: https://github.com/zainhas/togetherai-skills/archive/main.zip#together-embeddings Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.