• VECTOR
  • RAG
  • INDEX
  • HUMAN

How to generate embeddings for semantic search with your AI

Connect Fireworks AI to your agent. From there, you can pass text arrays to create vectors for your RAG pipelines.

Ask AI about this page

Short answer

How do I turn text into embeddings for semantic search?

Your agent uses the Fireworks AI MCP to convert text arrays into numerical vectors. These vectors enable semantic search and RAG workflows. You'll see the resulting embeddings directly in your chat.

The results of the process

Where your data goes

The embedding process produces specific outputs for your downstream tasks.

VECTOR

Numerical embeddings

The agent produces high-dimensional vectors from your text. You can use these to populate a vector database.

RAG

Context for retrieval

The AI generates the vectors needed to find relevant context. This powers your retrieval-augmented generation.

INDEX

Searchable indexes

Your text becomes a set of vectors ready for indexing. This allows for efficient similarity lookups later.

HUMAN

Manual selection

You must choose which text to embed. The AI only processes the specific strings you provide in the chat.

The workflow

What your AI does when text arrives.

The agent handles the heavy lifting of converting text into math.

  1. Receive text

    Your agent takes the text arrays or strings you send in the chat.

    embed

  2. Generate vectors

    The agent calls the embedding engine to transform the text into vectors.

    embed

  3. Format output

    The agent prepares the vector data for your use.

    embed

  4. Deliver embeddings

    The agent provides the final vector arrays back to you.

    embed

Try it

Copy these to start.

Use these prompts to trigger the embedding process.

Starting points

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

Fireworks AI Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_33nPHbqnzL5Jr2rFXauiGpX7zKcr5MqsbV2Q6mSr/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 — Fireworks AI capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "fireworks-ai-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_33nPHbqnzL5Jr2rFXauiGpX7zKcr5MqsbV2Q6mSr/mcp"
    }
  }
}
Copy into chat04

  • Embed this list of product descriptions: [insert text here]

  • Generate embeddings for the contents of my 'customer_feedback.txt' file.

  • Turn these five sentences into vectors for my semantic search index: [insert sentences]

  • I need embeddings for this array of user comments to use in a RAG pipeline: [insert array]

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

Start here

Connect Fireworks AI once, then ask.

One connection gives your agent access to the embedding tools. Your credentials stay encrypted and secure.

Connect Fireworks AI to your AI

FAQ

How this task behaves

  • 01

    Can the AI embed entire PDF files automatically?

    No. You have to provide the text content to the agent for it to process.

  • 02

    Does the AI store my vectors in a database for me?

    No. The AI generates the embeddings, but you have to save them to your own vector database.

  • 03

    Can I use this for real-time semantic search?

    Yes, once you have the embeddings, you can use them to perform similarity lookups.

  • 04

    Will the AI change my original text?

    No. The tool only reads the text to create vectors; it doesn't touch your source data.

  • 05

    Can the AI create embeddings for images?

    No. This tool is for text-to-vector transformations only.

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

Connect Fireworks AI to Claude, Cursor, ChatGPT & more