What's included

• AI Agents with RAG and Advanced Databases

  Design and develop intelligent AI agents leveraging Retrieval-Augmented Generation (RAG) techniques. Utilize vector databases or graph databases to enable contextual memory, knowledge reasoning, and dynamic information retrieval. This service includes creating scalable pipelines for data ingestion, semantic search, and integration with conversational AI frameworks to produce agents capable of complex decision-making and personalized interactions.

• AI-Powered Applications with Intelligent Agents

  Build full-featured AI applications that harness the power of intelligent agents. This includes end-to-end development of AI-driven solutions with interactive interfaces, real-time data processing, and multi-agent orchestration. Applications are designed for seamless user experience while incorporating autonomous reasoning, RAG-based knowledge access, and integration with backend services to deliver robust, scalable, and intelligent software solutions.