> ## Documentation Index
> Fetch the complete documentation index at: https://docs.trychroma.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Ollama

Chroma provides a convenient wrapper around [Ollama](https://github.com/ollama/ollama)'s [embeddings API](https://github.com/ollama/ollama/blob/main/docs/api.md#generate-embeddings). You can use the `OllamaEmbeddingFunction` embedding function to generate embeddings for your documents with a [model](https://github.com/ollama/ollama?tab=readme-ov-file#model-library) of your choice.

<CodeGroup>
  ```python Python theme={null}
  from chromadb.utils.embedding_functions.ollama_embedding_function import (
      OllamaEmbeddingFunction,
  )

  ollama_ef = OllamaEmbeddingFunction(
      url="http://localhost:11434",
      model_name="llama2",
  )

  embeddings = ollama_ef(["This is my first text to embed",
                          "This is my second document"])
  ```

  ```typescript TypeScript theme={null}
  // npm install @chroma-core/ollama

  import { OllamaEmbeddingFunction } from "@chroma-core/ollama";
  const embedder = new OllamaEmbeddingFunction({
      url: "http://127.0.0.1:11434/",
      model: "llama2"
  })

  // use directly
  const embeddings = embedder.generate(["document1", "document2"])

  // pass documents to query for .add and .query
  let collection = await client.createCollection({
      name: "name",
      embeddingFunction: embedder
  })
  collection = await client.getCollection({
      name: "name",
      embeddingFunction: embedder
  })
  ```
</CodeGroup>