Building Domain Specific Custom Agents
This tutorial demonstrates how Corvic AI enables you to build domain-specific custom agents that operate hallucination-free over multimodal, multi-structural private data. Learn how agents are grounded directly in structured, unstructured, relational, and visual data—preserving signal and context instead of flattening everything into text.What You’ll Learn
- Building domain-specific custom agents that operate hallucination-free
- Working with multimodal, multi-structural private data
- Using composable pipelines and high-fidelity retrieval
- Building, debugging, and deploying production-ready agents
Key Concepts
Hallucination-Free Agents
Corvic AI agents operate hallucination-free by being directly grounded in your actual data, preserving signal and context instead of flattening everything into text. This maintains high-fidelity data representation across all data types.Multimodal Data Support
Agents work with structured data (tables, databases), unstructured data (text documents, PDFs), relational data (graph structures), and visual data (images, charts), preserving the original structure and context of your private enterprise data.Building Custom Agents
Step 1: Define Your Domain
Identify the specific domain for your agent (financial analysis, healthcare, customer support, document analysis, or custom business domain).Step 2: Configure Data Grounding
Ground your agent directly in your data by selecting relevant embedding spaces, configuring data sources, and setting up multimodal data access while preserving data structure and context.Step 3: Build Composable Pipelines
Create modular, composable pipelines with reusable components and reasoning steps that enable easy debugging and maintenance.Step 4: Implement High-Fidelity Retrieval
Set up high-fidelity retrieval by configuring parameters to optimize accuracy while preserving data context and maintaining signal integrity.Step 5: Debug and Deploy
Test agent responses, debug reasoning steps, validate accuracy, and deploy to production.Benefits
Corvic AI agents are production-ready, offering some of the fastest agents in the industry with hallucination-free operation, clear explainability, and enterprise scalability. The platform makes it easy to build, debug, and deploy agents using modular, composable components while preserving data signals, context, and structure for high-fidelity representation.Best Practices
Build agents for specific domains by grounding them in domain-specific data and maintaining context throughout. Design modular, composable pipelines with reusable components that enable easy debugging while ensuring direct data grounding across all available data types for high-fidelity representation.Use Cases
Common use cases include financial analysis (transaction analysis, risk assessment, fraud detection), healthcare (medical record analysis, patient insights, treatment recommendations), customer support (query resolution, product recommendations, ticket analysis), and document analysis (search, content analysis, legal review, compliance checking).Related Documentation
Agents Guide
Learn about configuring and using agents.
Spaces
Understand embedding spaces for agent grounding.
Data Sources
Learn about managing data sources.
Data Apps
Deploy agents as production applications.