Bring your business knowledge into the conversation.
Assistable RAG, or retrieval-augmented generation, supplies relevant passages from assigned knowledge sources when an AI agent answers. Add text, FAQs, website content or files to give the assistant business-specific context.
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FAQ 1
CSV format: two columns, question, answer. Each row becomes one FAQ chunk.
Powering businesses, agencies and franchise operators.
Household-brand logos represent franchise-level deployments.
Answer a service-policy question from the source.
Retrieval-augmented generation brings relevant passages into the agent's answer context, so it can work with your business information.
Add the information customers need
Create focused sources from supported text, FAQs, files or website content. Let processing complete before using them in a conversation.
Connect knowledge to its role
Assign the knowledge base to the relevant assistant. Give a service agent the policies and offering details appropriate to its job.
Retrieve the relevant detail
When asked a question, the assistant can use selected source passages alongside its instructions. Questions requiring live information can use a configured tool.
Give the agent context your business owns.
Business detail beyond general knowledge
Bring your actual services, policies and common answers into the conversation without training a new model.
A maintained place for guidance
Update the source material when an offer or policy changes, then process it for the assistants assigned to that knowledge.
Information matched to the task
Use retrieval for maintained guidance and connected APIs for live calendars, orders or authorized account information.
Keep the sources as deliberate as the answers.
Useful retrieval depends on the information you provide, the questions you test and the response when an answer is missing.
Clear source ownership
Maintain approved content and remove conflicting or outdated guidance. URL imports need updating when the original website changes.
A path for missing information
Instruct the assistant to clarify or involve your team when its sources do not answer the question. Retrieval does not guarantee every answer is correct.
Relevant conversation checks
Test representative customer questions on the intended channel and revisit affected questions after changing a source or assistant assignment.
Product capabilities and architecture
Give AI agents relevant information from your services, policies and FAQs. Maintain the source content your agents retrieve when customers ask questions.
From business content to a relevant answer.
- Text, FAQs, URLs and files
- Build a knowledge base from supported source types. Use focused content that reflects what customers actually ask about your business.
- Relevant passage retrieval
- Bring selected source material into the model's answer context. The assistant can use business detail beyond its general knowledge.
- Assistant-level assignment
- Attach the processed knowledge to the assistants that need it. Keep a service agent focused on the information appropriate to its role.
- Maintained source content
- Update the underlying information when services, policies or offers change, then process the source for the agent to use.
Business context at the point of the answer.
Use maintained content for guidance and connected tools for facts that change.
- Sources provide the reference
- Retrieval brings your approved content into the answer without retraining the underlying model.
- Instructions shape the response
- Define how the assistant explains information, clarifies requests and handles gaps in the sources.
- Tools supply changing facts
- Use connected APIs for current availability, order status and account records.
Operating controls and references
Useful answers start with accountable sources.
Keep ownership of the information as clear as ownership of the agent.
- Approved content
- Give each source an owner and remove outdated or conflicting guidance. Attach only the information appropriate to the assistant's role.
- A defined response to missing information
- Instruct the agent to clarify or escalate when its sources do not answer the question, rather than filling gaps with an unsupported business claim.
- Controlled updates
- Review source processing and affected questions after policy changes. URL imports need maintenance when the original website changes.
Put your best business knowledge to work.
Bring the questions customers ask and the sources your team trusts. We will help connect them to a useful agent experience.
RAG use cases by team
RAG
questions.
What does RAG mean for an AI agent?
Retrieval-augmented generation adds relevant business information to the context used for an answer. It lets an assistant work with maintained services, policies and FAQs without training a new model.
Does a knowledge base prevent every incorrect answer?
No. Source quality, retrieval and interpretation all affect the response. Maintain clear information, define the behavior for missing answers and evaluate representative customer questions.
Should live availability and account records go in the knowledge base?
Use a connected tool when information changes frequently or requires authorization. RAG suits maintained guidance; calendar, order and account APIs suit live operational facts.
Are imported website pages continuously synchronized?
A URL import is not a continuous synchronization guarantee. Update and process the source when the underlying content changes so the assistant has the current information.
