Advanced Knowledge Chatbot
A broader knowledge assistant designed for varied documentation, stronger retrieval, source citations, evaluation, and controlled escalation.
A broader knowledge assistant designed for varied documentation, stronger retrieval, source citations, evaluation, and controlled escalation.
Best for
Organizations with a larger knowledge collection, mixed document formats, or a stronger need to trace answers to approved sources.
Typically included
- Knowledge inventory and retrieval architecture
- Hybrid retrieval, answer, citation, and fallback configuration
- Representative evaluation set and quality review
- Content-update and operating guidance
Not included at this starting price
- Unbounded migration or automatic correction of poor documentation
- Legal, clinical, financial, employment, or other regulated decision automation
- Third-party model, hosting, storage, authentication, integration, and ongoing operating costs
What Cloudexa needs before work starts
- Knowledge sources, owners, formats, permissions, and update schedules
- Representative questions with expected source passages and answer boundaries
- Citation, authentication, feedback, escalation, privacy, and operating requirements
What can change the final proposal
- Document quantity, size, format, duplication, metadata, and access rules
- Retrieval complexity, citations, authentication, integrations, and custom interfaces
- Evaluation coverage, model and storage usage, monitoring, retention, and support expectations
Scope note
The starting boundary assumes a defined knowledge domain. Document volume, permissions, authentication, integration, and evaluation depth may require a custom proposal.
Typical delivery path
- Establish source authority, permissions, and evaluation questions
- Configure ingestion, retrieval, citations, response, and escalation
- Test expected, ambiguous, sensitive, conflicting, and unsupported cases
After delivery
The final documentation identifies source and permission ownership, update procedures, provider costs, evaluation expectations, and escalation responsibility.
Published prices are non-binding planning estimates. Final fees are confirmed in a written proposal. Hosting, licenses, taxes, payment processing, model usage, storage, and other third-party charges are separate unless stated in that proposal.
Frequently asked questions
What makes this different from the contextual chatbot?
It is intended for a broader or more varied knowledge set and typically requires deeper retrieval, citation, metadata, permission, and evaluation work.
Can internal documents be included?
Potentially, after authentication, permissions, provider handling, retention, logging, and contractual requirements are approved.