Production-ready
Admissions Knowledge Agent
Performs RAG (Retrieval-Augmented Generation) retrieval from the AdmissionsKnowledgeEntry store. Finds the most relevant knowledge entries for a given query and page context to provide Maya with accurate program informat
Admissions department for Colaberry Enterprise agents
Built by Colaberry
About the Agent
What this agent does, the challenges it addresses, and where it delivers value.
Performs RAG (Retrieval-Augmented Generation) retrieval from the AdmissionsKnowledgeEntry store. Finds the most relevant knowledge entries for a given query and page context to provide Maya with accurate program information.
Challenges This Agent Addresses
- 1**Admissions**: Maya answers visitor questions with accurate, up-to-date program facts
- 2**Quality**: Ensures consistent information delivery across all conversations
- 3**Content**: Knowledge gaps identified by low match rates inform content updates
How the Agent Works
Step-by-step operational flow showing how this agent processes tasks end-to-end.
Step 1
Receives a query string and optional page_category
Step 2
Calls findRelevantKnowledge() to search AdmissionsKnowledgeEntry records
Step 3
Returns matched entries with their categories and titles
Step 4
Results are used by Maya to ground responses in verified program facts
Execution Modes
Inputs & Outputs
What data this agent consumes and the artifacts or actions it produces.
Input Data
- query - the visitor question or topic to search for
- page_category - the current page context for relevance boosting
Deliverables
- Up to 5 relevant knowledge entries with categories and titles
Core Tasks
- Admissions Operations
Systems Connected
Internal systems, APIs, and tools this agent integrates with.
Tools & APIs
Agent Specs
Technical specifications, requirements, and deployment details.
Related Agents
Other agents in the same department or industry.
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