Use case 01
AI / AI Knowledge & RAG Systems
Make organizational knowledge usable.
Search and question-answering experiences grounded in the documents and information your team is allowed to access.
Discuss your projectThe challengeAI Knowledge & RAG Systems.
AI Knowledge & RAG Systems.
With a clear purpose.
Answers are often buried across folders, policies and internal systems. Employees spend time finding the right version or asking the same questions, while general AI tools lack access to your organization’s context.
We build retrieval-augmented generation systems that find relevant approved material and use it to support an answer. Content preparation, source references, access rules and retrieval evaluation are central to the work.
What DX1st does
Make the work tangible.
- A content inventory and ingestion pipeline
- Retrieval and answer generation with source references
- Access-aware testing and a content refresh process
Use case 02
Helping support teams locate product knowledge
Use case 03
Searching a large archive of approved technical documents
How we approach it.
A defined scope. A useful next step.Prepare the knowledge
Identify authoritative material, remove duplication and retain useful metadata.
Connect retrieval
Configure indexing, search and source-supported answers for the intended questions.
Evaluate and maintain
Test retrieval quality, permission boundaries and behavior when sources are missing.
The tools follow the task
Built for your environment.
We work from your existing systems and requirements. Depending on scope, the solution may involve:
Vector databasesSearch indexesOpenAI APIAnthropic APIDocument connectors
Platform fit, access and licensing are assessed during discovery. Names shown describe technology options, not partner endorsements.
Business outcomesDefine what
Define what
better means.
- Less time searching for approved information
- Answers that can be checked against their sources
- A repeatable process for keeping knowledge current
These are the outcomes we design toward. We agree on a baseline and success measures with you; results depend on the starting point and scope.
A few useful answers.
What does RAG mean?
Retrieval-augmented generation combines a search step with answer generation. The system retrieves relevant source material before asking a model to produce a response.
Does RAG eliminate incorrect answers?
No. Retrieval and generation can both fail. We test source selection and answer quality, include references and define when the system should decline to answer.
Can employees see restricted documents?
Access requirements must be enforced throughout retrieval and presentation. We design and test the system around the permissions in the agreed scope.
AI Strategy & Roadmaps
A practical plan for where AI belongs, what it needs, and how to move from interest to implementation.
AI Agents & Automation
Purposeful agents and connected workflows that take work off your team’s plate, with clear limits and human control.
Custom AI Applications
Focused AI applications for business problems that off-the-shelf tools do not adequately solve.
DX1st provides ai knowledge & rag systems for organizations in Boca Raton, Palm Beach County and across South Florida.
Start with a conversation