- CLEAN TEXT
- KNOWLEDGE
- RELEVANCE
- HUMAN
Short answer
How do I get clean web data into my AI for RAG?
Use Exa AI to search for specific topics and extract only the meaningful text from the results. This provides your agent with the semantic context it needs for accurate retrieval. You'll get a clean stream of text ready for your knowledge base.
Where your data lands.
The outcomes of web ingestion.
The AI handles the heavy lifting of finding and cleaning web content.
CLEAN TEXT
Ready-to-use context
The AI strips away the junk like ads and nav bars. You get pure, semantic text that fits perfectly into your vector database.
KNOWLEDGE
Updated knowledge base
Your agent uses the retrieved content to answer questions with real-time information. It stops relying on outdated training data.
RELEVANCE
Semantic accuracy
The AI finds pages based on meaning rather than just keyword matching. This ensures the data you ingest actually answers your user's intent.
HUMAN
Manual review
You decide which specific pages or topics are worth adding to your permanent index. The AI suggests the content, but you control the final knowledge set.
The workflow
What your AI does when the data arrives.
The AI moves from a broad query to a specific, cleaned text block.
Find relevant sources
The agent identifies the most meaningful web pages related to your specific topic or query.
search_with_contentsFilter by meaning
It narrows down the results to ensure the content matches the semantic intent of your RAG request.
semantic_searchClean the content
The AI pulls the actual text from the identified pages, leaving behind the HTML clutter.
extract_page_contentVerify the data
The agent checks the extracted text against your original requirements to ensure it's useful.
semantic_search
Try it
Copy these to start.
Use these prompts to trigger the data collection process.
Starting points
Swap the bracketed topics for whatever you are researching.
Exa AI Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_FGVXtKSFn3wrHq5L8wcmkWylSnn62LI4lF4yyImn/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 — Exa AI capabilities are ready to use.
{
"mcpServers": {
"exa-ai-mcp": {
"url": "https://edge.vinkius.com/vk_preview_FGVXtKSFn3wrHq5L8wcmkWylSnn62LI4lF4yyImn/mcp"
}
}
}Search for the latest research papers on [topic] and extract the text for my RAG base.
Find semantically relevant articles about [industry news] and clean the content for ingestion.
Use semantic search to find deep dives into [technical subject] and pull the page content.
Search for documentation on [software library] and prepare the text for my knowledge base.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Exa AI once, then ask.
One click connects the MCP to your client. Your credentials stay encrypted and secure on our side.
Connect Exa AI to your AIFAQ
How this task behaves.
- 01
Can the AI automatically update my database?
No. The AI retrieves and cleans the data, but you must manage the actual writing to your database or vector store.
- 02
Does it scrape every website it finds?
No. It only extracts content from the specific pages identified during the search and semantic filtering steps.
- 03
Will it download images or videos?
No. This tool is designed to extract text content for semantic processing.
- 04
Can I limit the search to specific domains?
Yes. You can specify domains or topics in your prompt to guide the search.
- 05
Does the AI decide which pages are 'good'?
The AI uses semantic relevance to suggest pages, but you remain the final authority on what gets ingested.
More questions about Exa AI? See everything the Exa AI Connector can do
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