- VECTORIZED
- RETRIEVED
- HUMAN
- READY
Short answer
How do I build a RAG knowledge base for my AI?
You use AI21 Studio to convert your text into numerical vectors. This lets your agent pull relevant information from your files to answer questions. You'll see how the data moves from raw text to a searchable index below.
The results of your connection
Where your data goes
Once you connect, your AI gains these capabilities.
VECTORIZED
Searchable text indices
The AI converts your documents into vectors. You get a mathematical representation of your text that makes retrieval possible.
RETRIEVED
Context-aware answers
Your agent pulls relevant snippets from your files. This ensures the responses stay grounded in your specific data.
HUMAN
Manual data oversight
The AI cannot decide which files to delete or modify. You retain full control over the source text and the knowledge base.
READY
Active RAG workflows
The connection is live. You can immediately start asking questions about your uploaded documents through your preferred client.
The workflow
What your AI does when the data arrives.
The AI handles the heavy lifting of turning text into math.
Text ingestion
The AI reads your raw text files and prepares them for processing.
chat_completionVector conversion
The system transforms text strings into numerical vectors for similarity searches.
chat_completionContext retrieval
When you ask a question, the AI finds the most relevant vector matches in your knowledge base.
chat_completionResponse generation
The agent combines the retrieved facts with your prompt to give a grounded answer.
chat_completion
Try it
Copy these to start.
Use these prompts once you have connected AI21 Studio.
Starting points
Replace the bracketed text with your specific file names or topics.
AI21 Studio Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_WMa28JOwaFReJYak5RqbS43SLWBj7OclFDn8OYFn/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — AI21 Studio capabilities are ready to use.
{
"mcpServers": {
"ai21-studio-mcp": {
"url": "https://edge.vinkius.com/vk_preview_WMa28JOwaFReJYak5RqbS43SLWBj7OclFDn8OYFn/mcp"
}
}
}Summarize the key points from my project_notes.txt file.
Based on the technical_manual.pdf, how do I reset the device?
Search my customer_feedback.csv and tell me the top three complaints.
Using the meeting_transcripts folder, what were the action items from Tuesday?
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect AI21 Studio once, then ask.
Follow the link to authorize the connection. Your credentials stay encrypted, and you can jump straight into your chat client.
Connect AI21 Studio to your AIFAQ
How this task behaves
- 01
Can the AI edit my original text files?
No. The AI only reads the text to create vectors; it cannot change or overwrite your source files.
- 02
Does the AI delete data if it finds a conflict?
No. The AI has no capability to delete files or remove data from your knowledge base.
- 03
How does the AI find the right information?
It uses vector similarity to find the text chunks that most closely match the meaning of your question.
- 04
Can I use this with Cursor or Claude?
Yes, as long as your client supports the Model Context Protocol, it will work.
- 05
Do I need to manually create embeddings?
No, the AI21 Studio connection handles the transformation of text into vectors automatically.
More questions about AI21 Studio? The Connector page answers them. See everything the AI21 Studio Connector can do
Connect AI21 Studio to Claude, Cursor, ChatGPT & more
