• PRECISION
  • RELEVANCE
  • ACCURACY
  • HUMAN

How to improve RAG retrieval accuracy with your AI

Connect Cohere to your agent to fix the gap between searching for data and actually finding the right context.

Ask AI about this page

Short answer

How do I make my AI's RAG more accurate?

You need to move beyond simple keyword matching. By using semantic embeddings to find related concepts and reranking to prioritize the best matches, your agent stops hallucinating based on bad context. This process ensures the most relevant snippets actually make it into the prompt.

The outcomes of better retrieval.

Where your data lands.

What happens when your agent uses these tools.

PRECISION

Relevant context only

The agent ignores noise and focuses on the specific data points that actually answer the user's question.

RELEVANCE

Semantic understanding

The agent finds information based on meaning rather than just matching exact words in a search query.

ACCURACY

Fewer hallucinations

By providing the right context, your agent stops guessing and starts answering based on facts.

HUMAN

Manual review needed

You still need to check the final answers to ensure the retrieved context meets your specific quality standards.

The workflow

What your AI does when <the thing arrives>.

The agent follows a two-step process to clean up and prioritize your data.

  1. Vectorize your data

    The agent turns your raw text into mathematical vectors so it can understand the underlying meaning of every sentence.

    embed_texts

  2. Find matches

    The agent uses those vectors to pull a broad set of potentially relevant documents from your knowledge base.

    embed_texts

  3. Sort by importance

    The agent looks at the initial results and re-orders them so the most useful information sits at the very top.

    rerank_documents

  4. Deliver context

    The agent passes only the highest-scoring snippets to the LLM to keep the prompt clean and focused.

    rerank_documents

Try it

Copy these to start.

Use these prompts once you have connected Cohere.

Starting points

Replace the bracketed text with your specific document names or folder paths.

Cohere Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_K2rlWzCd7or9FAq78qCN7N91Fzl9RZitKXOe4TMF/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 — Cohere capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "cohere-embed-rerank-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_K2rlWzCd7or9FAq78qCN7N91Fzl9RZitKXOe4TMF/mcp"
    }
  }
}
Copy into chat04

  • Embed these technical manuals from my local folder so you can understand the product specs.

  • Rerank the search results from my customer support logs to find the most common complaints.

  • Use the embedding tool to find all documents in my project repo that mention 'security protocols'.

  • Rerank the top 10 snippets from my legal database to find the most relevant clause for this contract.

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

Start here

Connect Cohere once, then ask.

Just link your account with one click. Your credentials stay encrypted, and you can start using these tools in your favorite client immediately.

Connect Cohere to your AI

FAQ

How this task behaves.

  • 01

    Can the AI automatically update my vector database?

    No. This MCP is for embedding and reranking existing text. It does not manage or write to your database.

  • 02

    Does this replace my existing search engine?

    No. It works alongside your existing retrieval system to improve the quality of the results you've already found.

  • 03

    Will the AI delete any of my documents?

    No. The tools only read and process text to create embeddings or rankings. They cannot delete or modify your files.

  • 04

    Can I use this to search through my Slack messages?

    Yes, if you provide the text from those messages to the agent to be embedded.

  • 05

    Does the reranking tool change the original text?

    No. It only changes the order in which the documents are presented to your agent.

  • More questions about Cohere? See everything the Cohere Connector can do

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