together-embeddings
Dense vector embeddings, semantic search, RAG pipelines, and reranking via Together AI. Generate embeddings with open-source models and rerank results behind dedicated endpoints. Reach for it whenever the user needs vector representations or retrieval quality improvements rather than direct text generation.
Pinned to revision 4e8964e24a5a, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/together-embeddings/SKILL.md
- skills/together-embeddings/references/api-reference.md
- skills/together-embeddings/references/models.md
- skills/together-embeddings/scripts/embed_and_rerank.py
- skills/together-embeddings/scripts/embed_and_rerank.ts
- skills/together-embeddings/scripts/rag_pipeline.py
- skills/together-embeddings/scripts/semantic_search.py
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