ITAC AI Agent Framework

Example Use Cases

• 1

  Integrate multiple AI tools and workflows securely with cloud infrastructure.

• 2

  That require advanced document retrieval and question answering using hybrid RAG techniques.

• 3

  Persistent long-term conversation memory and scalable local or API-based LLM inference.

Description

The ITAC AI Agent is a production-ready, extensible framework that orchestrates multi-tool workflows using LangGraph and LangChain, supports advanced retrieval-augmented generation (RAG) with hybrid search and reranking, and enables secure, auditable tool execution via the MCP server. It supports both OpenAI and local Hugging Face models, persistent conversation memory with PostgreSQL, and environment-based configuration for scalable deployment. This system facilitates natural language queries that trigger real cloud actions with source attribution and robust long-term memory.