Knowledge retrieval
Assistants to locate and query internal content, with sources and permissions considered during application planning.
We develop generative AI applications to support teams in retrieving information and performing tasks. Your business context guides the experience.
Tell us about your project ↗Assistants to locate and query internal content, with sources and permissions considered during application planning.
Conversational interfaces to organize questions, prepare summaries, and support workflows that depend on access to information.
Integrations with APIs and tools to extend assistant capabilities within the defined scope and access permissions.
A business assistant starts with defining its audience and the questions it should help answer. Knowledge sources and how they will be updated must also be identified.
Generative AI models can produce inaccurate answers. The project should therefore consider sources, usage boundaries, response evaluation, and human review where needed. These criteria are part of defining the solution.
The model and architecture are chosen according to the application. The goal is to build an experience consistent with the content, users, and tasks the assistant needs to support.
That is a possibility. Document formats, organization, permissions, and updates need to be assessed during the project.
No. Generative AI can make mistakes. An application should include evaluation, source consultation, and human review according to its use.
We can assess integrations with model APIs such as Claude according to project needs, available access, and usage costs.