- PRECISION
- RELEVANCE
- ACCURACY
- HUMAN
Short answer
How do I make my RAG search more accurate?
Use semantic reranking to reorder the document chunks your search engine finds. This ensures the most relevant information sits at the top of the context window. You'll get much cleaner answers by filtering out the noise.
Where every result lands.
The outcomes of reranking
Reranking changes how your agent sees your data.
PRECISION
Better context hits
The rerank_documents tool moves the most useful chunks to the front. Your agent stops hallucinating based on irrelevant snippets.
RELEVANCE
Noise reduction
Low-quality matches get pushed down the list. This keeps the context window focused on what actually matters for the question.
ACCURACY
Sharper answers
By prioritizing semantic meaning over simple keyword matching, your agent finds the right facts even if the wording differs.
HUMAN
Manual review needed
The AI handles the reordering, but you still need to check the final answers for logic. The tool doesn't change your original source documents.
The workflow
What your AI does when a query arrives.
The agent moves from broad retrieval to precise context selection.
Initial retrieval
Your existing search engine pulls a large set of potential document chunks from your database.
rerank_documentsSemantic reordering
The agent sends those chunks to Cohere to evaluate how well they actually answer the user's specific question.
rerank_documentsContext pruning
The agent selects only the top-scoring chunks to feed into the prompt.
rerank_documentsFinal response
The agent generates an answer using the newly prioritized information.
rerank_documents
Try it
Copy these to start.
Use these prompts to test your reranking setup.
Starting points
These are ways to trigger the reranking process. Swap out the bracketed text for your actual data sources.
Cohere Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_fA1l2oqJxpD7QL48YxxEDHfZLGLU7FMkmFVJY7Ft/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 — Cohere capabilities are ready to use.
{
"mcpServers": {
"cohere-ai-platform-mcp": {
"url": "https://edge.vinkius.com/vk_preview_fA1l2oqJxpD7QL48YxxEDHfZLGLU7FMkmFVJY7Ft/mcp"
}
}
}Rerank these chunks from my [PDF folder] to find the answer about [project timelines].
Use the rerank tool on the results from my [customer support wiki] to answer this: [How do I reset my password?]
I have these 20 snippets from [company policy docs]. Rerank them so the most relevant ones for [vacation policy] are first.
Look at the search results from my [GitHub repo] and rerank them to find the specific code logic for [authentication].
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Cohere once, then ask.
Just link your account via the Vinkius dashboard. Your credentials stay encrypted, and you can immediately start using the reranking tools in your favorite client.
Connect Cohere to your AIFAQ
How reranking works
- 01
Does reranking change my original documents?
No. The tool only changes the order in which the AI reads the chunks. Your source files remain untouched.
- 02
Can the AI delete irrelevant chunks from my database?
No. The tool only reorders the data for the current conversation. It has no permission to delete or modify your storage.
- 03
Will this make my search faster?
It adds a step to the retrieval process, but it makes the subsequent reasoning step more efficient by providing better context.
- 04
Do I need to change my vector database?
No. You can use reranking with any existing retrieval system to improve the quality of the results you get back.
- 05
Can the AI decide which chunks to rerank?
Yes, once the tool is connected, your agent can choose to invoke the reranking capability whenever it needs to refine its context.
More questions about Cohere? See everything the Cohere Connector can do
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