Firemind engaged Foxintelligence to address their challenges in efficiently processing and extracting insights from their unstructured data, particularly customer email communications. Foxintelligence, an innovative organisation rapidly advancing into the world of AI and machine learning, had an internal innovation department that was exploring the potential of these technologies to improve their operations and to gain a competitive edge.

Firemind proposed a comprehensive proof-of-concept solution leveraging various AWS services to create a scalable, serverless system. The first step was to establish a robust data ingestion pipeline that could handle any text documents, including unstructured data. This was achieved by utilising Amazon S3 to ingest and store the documents, such as customer emails, as they were uploaded.

To enable smart semantic search capabilities, Firemind implemented Amazon Kendra, which allowed the large language model to efficiently retrieve the most relevant documents from the data repository. This was a crucial component, as it provided the foundation for the chain-of-thought reasoning process that was at the heart of the solution.

The user interface was developed using React and hosted on Amazon S3, with the content delivered through a CloudFront distribution. This frontend was secured using AWS WAF and integrated with Amazon Cognito, ensuring that only authenticated users could access the system. The UI provided a prompt-based experience, allowing Foxintelligence’s team to easily enter queries and retrieve responses from the large language model.

At the core of the solution was the use of the Claude V2 model, hosted on Amazon Bedrock. This powerful large language model was leveraged to reason over the data retrieved by the semantic search, providing contextual responses to the user prompts. The combination of Kendra’s search capabilities and the LLM’s reasoning abilities enabled Foxintelligence’s team to extract valuable insights from their unstructured data, automating manual tasks and freeing them up to focus on higher-value work.

The entire system was designed with a serverless architecture, utilising AWS Lambda and Amazon API Gateway to handle the backend processing and API requests. This approach ensured scalability, cost-efficiency, and ease of maintenance, aligning with Firemind’s commitment to AWS best practices and methodologies.

Through this proof-of-concept, Firemind demonstrated how Foxintelligence could leverage the power of generative AI and AWS services to streamline their internal operations and scale their business without the need to increase their full-time employee headcount. The solution provided a flexible and secure platform that empowered Fox Intelligence’s team to extract insights and automate manual tasks, ultimately driving greater efficiency and productivity within the organisation.