text-embed

name	text-embed
description	Generate text embeddings using Ollama at {{OLLAMA_HOST}}:{{OLLAMA_PORT}}.
metadata	{"openclaw":{"emoji":"🧬"}}

Text Embed

Use Ollama at http://{{OLLAMA_HOST}}:{{OLLAMA_PORT}} for text embedding generation.

Generate Embeddings

curl -X POST "http://{{OLLAMA_HOST}}:{{OLLAMA_PORT}}/api/embed" \
  -H "Content-Type: application/json" \
  -d '{"model": "nomic-embed-text", "input": "The quick brown fox jumps over the lazy dog"}'

Tips for AI Agents

• Use nomic-embed-text or mxbai-embed-large for high-quality embeddings.
• Store embeddings in Qdrant, ChromaDB, or Weaviate for similarity search.
• Batch multiple texts in a single request for efficiency.
• Embedding dimensions vary by model — ensure consistency in your vector store.