Agentic AI for Information Retrieval

This solution is particularly well-suited for organizations looking to streamline information access across large datasets; this can include databases and any size document repositories. The conversational AI enhances the user’s experiences and accelerates their decision-making. The system is fully deployed on AWS and integrates key AWS services to deliver scalability, security, and automation.

Key features

• Agent-based data collectors: Using an Agent to intelligently extract information from databases. The ReAct Agent is an advanced system that combines reasoning and action to autonomously interact with SQL databases. It integrates natural language understanding, planning, and execution to manage database operations effectively.
• Real-time Knowledge Retrieval: Leveraging ReAct Agentic AI and RAG (Retrieval-Augmented Generation), the system uses real-time conversation to retrieve information from knowledge bases.
• Conversational Interactions: Users engage with the system through natural language queries, receiving precise responses augmented by the knowledge embedded within corporate information sources.
• Advanced Metadata Filtering: Data and documents are tagged and filtered based on metadata, allowing the system to retrieve the most relevant information. History-aware Retriever: The system considers the conversational history to provide more accurate, context-aware responses, improving the overall user experience.
• Customizable information retrieval: The solution offers a high degree of flexibility, allowing users to configure document ingestion, retrieval parameters, and role-based access controls to suit specific organizational needs. Custom workflows can be designed for different departments, ensuring that each user group accesses relevant information tailored to their roles. This adaptability ensures the solution fits seamlessly into diverse business environments.
• Customizable UI: The chat client or other preferred user interface can be tailored to reflect the organization’s brand in diverse business environments.
• Cost Control: Built-in token, user, and role-based limitations help manage API usage and prevent excessive costs, ensuring that resource consumption is kept under control.
• History-aware retriever: The system takes into account the conversational history to provide more accurate, context-aware responses, improving the overall user experience.
• Fully automated: Infrastructure is provisioned using an IaC platform, enabling easy replication, deployment, and management of the system. This reduces the risk of manual configuration errors and ensures consistent deployments across multiple environments.
• User Authentication and Access Control: The solution integrates with AWS Cognito and corporate Single Sign-On (SSO) systems to provide secure and seamless user authentication. This ensures that only authorized users can access the system.
• Data Protection: Sensitive data, such as conversation histories and document embeddings, are securely stored in DynamoDB and PostgreSQL, respectively. Encryption at rest and in transit is employed to protect all stored information.