• VECTOR
  • RAG
  • SEARCH
  • HUMAN

How to generate vector embeddings with your AI

Connect Anyscale to your AI client to convert text into math. Once connected, your agent can build the numerical maps needed for RAG systems.

Ask AI about this page

Short answer

How do I turn text into vectors using my AI?

You tell your AI to run the embedding tool on your specific text blocks. It converts that text into a list of numbers that your agent uses to find relevant information later. You'll see the specific outcomes below.

The results of embedding

Where your data lands

Once your AI processes your text, you get these specific outputs.

VECTOR

Numerical arrays

The AI uses generate_embeddings to turn your text into high-dimensional vectors. You get the raw numbers needed for a vector database.

RAG

Better retrieval

Your agent uses these embeddings to perform semantic searches. This lets it find context based on meaning rather than just keyword matching.

SEARCH

Semantic search

The AI creates a map of your data. You can then ask questions that pull the most relevant text chunks based on their mathematical proximity.

HUMAN

Manual selection

The AI provides the vectors, but you decide which text chunks are worth embedding. You must select the source material before the AI can process it.

The workflow

What your AI does when text arrives.

The AI handles the heavy lifting of the mathematical conversion.

  1. Identify text

    Your agent looks at the raw text you provided in the chat. It identifies the specific strings that need to be converted.

    generate_embeddings

  2. Compute vectors

    The AI sends the text to Anyscale to run the embedding process. It turns words into coordinate points in a vector space.

    generate_embeddings

  3. Format output

    The agent receives the numerical arrays. It prepares these vectors so they are ready to be stored or used for immediate search.

    generate_embeddings

  4. Verify results

    You check the resulting vectors or the search accuracy. You decide if the embeddings accurately represent the meaning of your source text.

    generate_embeddings

Try it

Copy these to start.

Use these prompts to trigger the embedding process immediately.

Starting points

These are opening lines. Swap the bracketed text for your actual content or file names.

Anyscale Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_TYJFZRqD4R2R9l7bu7Vxd494Pf6ounExJTsky8LF/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 — Anyscale capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "anyscale-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_TYJFZRqD4R2R9l7bu7Vxd494Pf6ounExJTsky8LF/mcp"
    }
  }
}
Copy into chat04

  • Generate embeddings for this paragraph: [paste text here]

  • Convert the contents of my 'customer_feedback.txt' file into vectors.

  • Create embeddings for these three product descriptions so I can use them for semantic search.

  • Take the text from my recent Slack export and generate embeddings for it.

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

Start here

Connect Anyscale once, then ask.

Just click the link to connect your account. Your credentials stay encrypted, and you can start embedding text right away in your preferred client.

Connect Anyscale to your AI

FAQ

How this task behaves.

  • 01

    Can the AI automatically embed my entire database?

    No. You have to provide the specific text or files you want the AI to process through the tool.

  • 02

    Does the AI store my vectors for me?

    No. The AI generates the embeddings, but you are responsible for saving those vectors into a vector database of your choice.

  • 03

    Will this change my original text?

    No. The tool only reads your text to create numbers. Your original source data remains untouched.

  • 04

    Can I use these embeddings for image search?

    No. This specific tool is designed to convert text into numerical vectors.

  • 05

    Do I need to write code to get these vectors?

    No. Once the MCP is connected, you just tell your AI client what to embed in plain English.

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

Connect Anyscale to Claude, Cursor, ChatGPT & more