ITAC AI Agent FAQs

Question 1

Can I integrate my own tools and data sources with ITAC AI Agent?

Accepted Answer

Yes, ITAC AI Agent provides an extensible tool registry, making it easy to add new custom tools for cloud operations, infrastructure management, or document Q&A. It also supports persistent conversation memory using PostgreSQL.

Question 2

What makes ITAC AI Agent's tool execution secure and auditable?

Accepted Answer

All tool calls are securely routed through the Model Context Protocol (MCP) server, ensuring authentication, authorization, and comprehensive logging. This provides auditable execution for all cloud actions and integrations.

Question 3

How does ITAC AI Agent handle Retrieval-Augmented Generation (RAG)?

Accepted Answer

It features advanced RAG with hybrid search (combining BM25 keyword and semantic vector search), optional cross-encoder reranking for enhanced relevance, adaptive document retrieval, and query caching for optimal performance and accuracy.

Question 4

What is the ITAC AI Agent?

Accepted Answer

The ITAC AI Agent is a modular, production-ready GenAI framework designed to integrate Large Language Models (LLMs) with cloud infrastructure and the Model Context Protocol (MCP), enabling intelligent, secure, and auditable AI agentic behavior for real cloud actions.

Question 5

What LLMs and orchestration methods does it support?

Accepted Answer

ITAC AI Agent supports both OpenAI GPT models and local Hugging Face models (like Llama, Mistral). It uses LangGraph for robust multi-tool, multi-step agent orchestration, allowing for complex, extensible workflows.

ITAC AI Agent

ITAC AI Agent

Key Features

Use Cases

Key Features

Use Cases