Stop making agents guess

Search rebuilt for agents.

Most search APIs return results. Relevan returns results with reasons and next steps alongside them, so agents can reason, recover, and stop guessing.

Traditional Search API

Returns results. Leaves the agent guessing.

query
{
  "query": "node sdk timeout retries",
  "index": "docs"
}
results
{
  "results": [
    { "title": "Node SDK Configuration", "score": 2.41 },
    { "title": "Handling API Timeouts", "score": 1.87 },
    { "title": "Python SDK Retry Settings", "score": 1.22 }
  ]
}

The agent does not know:

- Did retries match?

- Are these Node-specific?

- Is the answer missing or just ranked poorly?

- Should it retry, broaden, filter, or stop?

Agent has to guess next query
Relevan

Returns results with reasons and next steps alongside them.

response
{
  "results": [
    {
      "title": "Node SDK Configuration",
      "score": 2.41,
      "reasons": [
        "Matched 'node' in title",
        "Matched 'sdk' in title",
        "Matched 'timeout' in configuration section"
      ]
    },
    {
      "title": "Handling API Timeouts",
      "score": 1.87,
      "reasons": [
        "Matched 'timeout' in title",
        "No SDK-specific match"
      ]
    }
  ],
  "search_context": {
    "matched_terms": ["node", "sdk", "timeout"],
    "missing_terms": ["retries"],
    "confidence": "partial_match",
    "next_steps": [
      "Search for 'retry policy' instead of 'retries'",
      "Filter to Node SDK docs",
      "Check reliability and error-handling docs"
    ]
  }
}

Relevan tells the agent:

- What matched

- What did not match

- Why the top result ranked

- Whether the search was only a partial match

- What to try next

Matched: node, sdk, timeoutMissing: retriesNext step: try retry policy

Fewer blind retries. Better retrieval decisions.

Reduce wasted search attempts

Agents recover faster when retrieval fails.

Lower token spend

Stop burning tokens on arbitrary query rewrites.

Improve answer confidence

Give agents better evidence before they respond.

Know when to stop

Avoid both premature answers and unnecessary search loops.

Before

Attempt 1 -> Attempt 2 -> Attempt 3 -> Attempt 4 -> Maybe answer

After

Attempt 1 -> Feedback -> Attempt 2 -> Confident answer

Building search for agents? Let's talk.

Relevan is working with teams designing agentic search, internal knowledge agents, and AI product experiences. If your agents rely on search, we can help identify where retrieval is breaking and how to design feedback loops that get better results faster.

- How your agents search today

- Where retries and retrieval failures happen

- What metrics to use for agentic retrieval quality

Reach out for a free consultation today!

Book a search consultation

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Stop making agents guess.

If your agents rely on search, they need more than results. Relevan helps teams design search experiences that return feedback agents can reason with.