• SEARCH
  • STORAGE
  • RECALL
  • HUMAN

How to generate vector embeddings with your AI

Connect Cohere to your AI client to turn text into mathematical representations. This lets your agent understand meaning instead of just matching words.

Ask AI about this page

Short answer

How do I turn text into vectors using my AI?

Your agent uses the Cohere MCP to convert text into dense numerical vectors. These vectors represent semantic meaning, which makes your data ready for similarity searches. You'll see how the math works below.

The outcomes

Where your data goes

Once the text is vectorized, you can use those numbers for several different things.

SEARCH

Semantic search

The AI uses the vectors to find content based on intent. It finds things that mean the same thing even if the words don't match.

STORAGE

Vector database prep

The resulting embeddings are ready to be saved in a vector database. This makes your data searchable by context in your apps.

RECALL

Better RAG results

Your agent retrieves more relevant context during retrieval-augmented generation. This helps provide better source material for your agent.

HUMAN

Manual cleanup

You still need to check the quality of your source text. The AI can't fix messy or broken data before it turns it into a vector.

The workflow

What your AI does when text arrives.

The AI handles the mathematical transformation of your data.

  1. Input handling

    Your agent takes the raw text you provide and prepares it for the model.

    generate_embeddings

  2. Vector creation

    The AI calls the model to convert the text into a dense array of numbers.

    generate_embeddings

  3. Mapping meaning

    The tool places the text into a high-dimensional space where similar concepts sit close together.

    generate_embeddings

  4. Returning data

    The resulting vector is passed back to your AI client for use in your application.

    generate_embeddings

Try it

Copy these to start.

Use these prompts to trigger the embedding process.

Starting points

Replace the bracketed text with your actual file names or content.

Cohere Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_fA1l2oqJxpD7QL48YxxEDHfZLGLU7FMkmFVJY7Ft/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Cohere capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "cohere-ai-platform-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_fA1l2oqJxpD7QL48YxxEDHfZLGLU7FMkmFVJY7Ft/mcp"
    }
  }
}
Copy into chat04

  • Generate embeddings for the text in my 'customer_feedback.txt' file.

  • Create vector representations for these three product descriptions: [insert descriptions].

  • Turn the contents of my 'project_notes' sheet into embeddings.

  • Embed the latest messages from the #marketing channel so I can search them later.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Cohere once, then ask.

Link your account once. Your credentials stay encrypted, and you can immediately start using the tools in any MCP-compatible client.

Connect Cohere to your AI

FAQ

How this task behaves

  • 01

    Can the AI change my original text?

    No. The tool only reads your text to create a vector; it does not modify the source content.

  • 02

    Does this tool store my data in a database?

    No. The tool generates the embeddings and hands them to your AI. You are responsible for storing those vectors in your own database.

  • 03

    Can I use this to translate text?

    No. This tool is specifically for creating vector representations, not for linguistic translation.

  • 04

    What happens if my text is too long?

    The embedding model has specific limits on input length. If the text is too large, the tool will return an error.

  • 05

    Will the AI decide which vector database to use?

    No. The AI generates the vectors, but you must decide where to send and store them.

  • More questions about Cohere? The Connector page answers them. See everything the Cohere Connector can do

Connect Cohere to Claude, Cursor, ChatGPT & more