01
Connect approved documents and knowledge sources
Connect approved documents and knowledge sources.
RAG & Knowledge Assistants
Ask Your Company Knowledge — With Sources Behind the Answer
Connect documents and approved knowledge to an AI assistant that retrieves relevant material before generating an answer.
The business problem
The answer often exists. The expensive part is finding the right source and using it correctly.
A retrieval-augmented generation (RAG) workflow searches your connected knowledge for relevant material before asking a model to respond. TRam Studio combines knowledge retrieval with agent execution so document Q&A can become part of a broader business workflow rather than an isolated chatbot. This is one example of AI business process automation built around a defined operational workflow.
How it works
From manual process to repeatable workflow
Start with the procedure your team already follows, then automate the repeatable steps without hiding what happened.
02
Index content for semantic retrieval and keep source context associated with the material
Index content for semantic retrieval and keep source context associated with the material.
03
Retrieve relevant passages based on the user question or workflow task
Retrieve relevant passages based on the user question or workflow task.
04
Generate an answer using the retrieved context and defined instructions
Generate an answer using the retrieved context and defined instructions.
05
Expose the result through Studio or an API and retain activity for inspection
Expose the result through Studio or an API and retain activity for inspection.
Common applications
Where this workflow can help
Policy Q&A
Product knowledge
Internal procedures
Technical documentation
Proposal knowledge
Customer support knowledge
Why TRam Studio
Build the workflow. Run it repeatedly. Inspect every activity.
TRam Studio combines AI models, company knowledge, tools, APIs and workflow execution in one production environment, with run-level visibility and usage tracking.
Works with your process
Design around the systems, documents and handoffs your team already uses instead of introducing automation for automation's sake.
Visible execution
Inspect workflow activity, outputs, failures and usage instead of treating AI as an opaque black box.
Start with one workflow
Prove value on a bounded process first. Focused implementation pilots start at $5,000 and can expand after measurable results.
FAQ
Frequently asked questions
What is RAG?
Retrieval-augmented generation retrieves relevant information from connected knowledge before generating a response, helping ground the answer in organization-specific material.
Can answers include source context?
The workflow can preserve retrieved source material so users can inspect the basis used for a response.
Can this be exposed through an API?
TRam Studio supports agent execution through APIs, allowing knowledge workflows to be integrated into other applications.
Does RAG replace permissions and data governance?
No. Access to source material and downstream applications still needs to be designed around appropriate organizational controls.
Can RAG be combined with other workflow steps?
Yes. Retrieval can be one step inside a larger agent workflow that extracts, evaluates, generates or routes information.
Ready to automate this workflow?
Show us the current process. We'll help determine what should be automated and what a focused pilot should include.