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Create embedding vectors for text

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Create embedding vectors for text

with NVIDIA NIM · Artificial Intelligence Management

Use NVIDIA NIM: its NVIDIA NIM Biology (BioNeMo) ASR Embeddings API lets you create embedding vectors for text in a single step (POST /v1/embeddings). capabilities.work can help you get signed up and connected.

  • Can I turn a batch of text strings into embedding vectors for semantic search?
  • Should a query and a document be embedded with a different input type for retrieval models like NV-EmbedQA?
  • Can I shrink the size of the returned embedding vectors on Matryoshka-style models?
Say it to your AI assistant
  • Embed the text {input} with the {model} embedding model.
  • Create {input_type} embeddings for {input} using {model}.
  • Generate {dimensions}-dimension embedding vectors for {input} with {model}.
For your developer

POST /v1/embeddings in NVIDIA NIM Biology (BioNeMo) ASR Embeddings API. Full spec on APIs.io.

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