RAG Optimization Services for Your Business
Corrective RAG development adds a verification step to retrieval, so your assistant stops answering from documents that do not actually contain the answer. Omeiro grades each retrieved chunk for relevance, rewrites vague queries and, where coverage is missing, falls back to web search.
How RAG optimization works, step by step
A made-up example of one run, from start to finish. Each step is logged so you can see what happened.
- Your documents are loaded
Files are split, indexed and kept in your own storage.
- A question comes in
The system finds the parts of your documents that match.
- The model answers from them
Answers point back to the source so people can check.
- People review the edge cases
We agree what happens when no good answer is found.
Sample Made-up names, data and steps to show how a run is logged. Your steps, tools and rules follow your business.
What you get with RAG optimization
Dynamic retrieval verification pipelines assessing chunk confidence. Automatically reformulating ambiguous queries, falling back to web search when documents lack coverage.
Basic Package
Chunk relevance grading; query rewrite for 1 RAG app. 5-day delivery, 1 round + 30-day fixes.
Standard Package
Full CRAG flow in LangGraph with web-search fallback, eval report. 9-day delivery, 1 round + 30-day fixes.
Premium Package
Multi-source CRAG, answer verification, monitoring, 30 days support. 14-day delivery, 1 round + 60-day fixes.
Clear brief first
We confirm what you need before work starts, so the scope is clear on both sides.
Revisions listed
Each package shows its revision rounds. A round is one list of changes sent together.
Yours once paid
Copyright of the final work passes to you once the order is paid in full.
Third-party tools, API usage and hosting are billed to your own accounts, so the setup stays with your business.
How our RAG optimization works
Baseline your app
We run sample questions through your current system and record where it goes wrong.
Add grading
Retrieved chunks are scored, and weak ones are discarded or flagged.
Rewrite and fall back
Unclear questions are rephrased, and missing coverage triggers a fallback source.
Measure again
The same questions are rerun so you can compare before and after.
Why choose Omeiro for RAG optimization
The same flow can be built in LangGraph, with an evaluation report that shows how accuracy changed.
In short
- Delivery in 5 to 14 days, by package.
- Fixed price, shown before you order.
- Teams whose RAG app gives confident answers drawn from the wrong document.
- Engineers hearing 'the bot is wrong sometimes' and unsure where retrieval fails.
- Copyright yours after full payment.
RAG Optimization: common questions
How much does RAG optimization cost?
Prices are fixed and shown by package on our RAG Optimization pricing page, so you see the full price before you order. You can also ask for a custom quote.
How long does self verifying RAG systems take?
Delivery depends on the package: Basic 5-day delivery; Standard 9-day delivery; Premium 14-day delivery.
What is included in the Basic Package?
The Basic Package includes: Chunk relevance grading; query rewrite for 1 RAG app. Higher packages add more scope, revisions and support.
Can I get a custom crag pipeline implementation package?
Yes. If none of the packages fits, use the custom package form on our pricing page to describe what you need, and our team sends you a fixed price.
Do I need a RAG system already?
Basic builds on one existing RAG app, so yes.
Will web fallback expose private data?
The fallback searches the public web. We configure what is sent, and you can switch it off.
How is this different from reranking?
Reranking orders results. Corrective RAG judges whether they are good enough and acts when they are not.
Which frameworks do you use?
LangGraph for the full flow.
Who owns the final work?
Copyright of the final work passes to you once the order is paid in full. Paid fonts, stock files or licences, if used, are licensed in your name.
Ready to start your RAG optimization?
Compare the packages and pick the one that fits. Not sure which? Write to us and we will help you choose.