• INDEXED
  • CONTEXTUAL
  • RELIABLE
  • HUMAN

How to build a RAG knowledge base with your AI

Connect Baidu Qianfan to your AI client to turn static files into a searchable memory. Your agent uses these embeddings to find the right context for any question.

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Short answer

How do I build a RAG knowledge base with my AI?

You use Baidu Qianfan to convert your documents into semantic embeddings. This lets your agent search through your specific datasets to find relevant context. You'll see how the data flows from your files to your agent's memory below.

The results.

What your data becomes.

Once connected, your documents move through a pipeline that makes them useful for your agent.

INDEXED

Searchable data

The AI converts your text into vectors. This makes your documents easy to find based on meaning rather than just keywords.

CONTEXTUAL

Smart answers

When you ask a question, your agent pulls the right snippets from your files. This keeps the AI from guessing.

RELIABLE

Grounded facts

Your agent stays grounded in the information you provided. It uses your specific datasets to back up its claims.

HUMAN

Manual control

You decide which datasets are active. The AI cannot change your original files, so you keep control of the source of truth.

The workflow

What your AI does when the data arrives.

The AI handles the heavy lifting of organizing and searching your information.

  1. Identify data

    The AI looks through your available collections to see what information is ready to be used.

    list_datasets

  2. Create embeddings

    The system turns your text into semantic vectors so the AI understands the intent behind your words.

    get_embeddings

  3. Retrieve context

    When you ask a question, the AI finds the most relevant pieces of information from your indexed files.

    get_embeddings

  4. Generate response

    The agent combines your question with the retrieved data to give you a precise, grounded answer.

    get_embeddings

Try it

Copy these to start.

Use these prompts to begin interacting with your new knowledge base.

Starting points

Swap the bracketed text for your actual dataset names or specific document topics.

Baidu Qianfan Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_nSPMSdk1YEMCwy7aSAehImUREP7520Z8lSHvuSUL/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 — Baidu Qianfan capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "baidu-qianfan-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_nSPMSdk1YEMCwy7aSAehImUREP7520Z8lSHvuSUL/mcp"
    }
  }
}
Copy into chat04

  • List all my available datasets so I can see what's ready.

  • Using the [Dataset Name] dataset, summarize the main points of our recent project.

  • Search my [Document Name] for any mention of the budget constraints.

  • Based on the information in my datasets, what are the three key takeaways from this month?

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

Start here

Connect Baidu Qianfan once, then ask.

Just click the link to connect. Your credentials stay encrypted and secure, and you can immediately start chatting with your data in your favorite AI client.

Connect Baidu Qianfan to your AI

FAQ

How this task behaves.

  • 01

    Can the AI delete my original documents?

    No. The AI only reads and processes the data through embeddings. It cannot modify or delete your source files.

  • 02

    Does the AI learn from my private data permanently?

    No. The AI uses the data as context for your specific conversation. It doesn't add your private information to its base training model.

  • 03

    How does the AI find the right information?

    It uses semantic embeddings to match the meaning of your question to the most relevant parts of your documents.

  • 04

    Can I use this with any AI client?

    Yes, as long as your client supports the Model Context Protocol (MCP).

  • 05

    What happens if my dataset is too large?

    The AI uses the list_datasets tool to manage and identify the specific collections it needs to access.

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

Connect Baidu Qianfan to Claude, Cursor, ChatGPT & more