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Created a chatbot to query the internal document store
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Created a chatbot to query the internal document store
FINCA aimed to create a chatbot to efficiently query and retrieve information from their internal document store, enhancing the accessibility and usability of past data. For this project, I worked as the network architect and deployment automation designer, creating all the terraform templates, deploying AWS Bedrock Knowledge Bases, and ensuring that security was maintained throughout the environment.
The main challenge was handling the diverse formats of data within the document store, including text, JSON, CSV, and mixed-media. Additionally, the chatbot struggled with providing summary numbers for tabular data, as it required additional tooling beyond the project’s scope.
The chatbot successfully enabled users to retrieve relevant information from the old document stores, significantly improving their usability. The integration with Microsoft Entra ensured secure access to data sources. Despite limitations in handling tabular data summaries, the overall project outcome was positive, with the chatbot providing reasonable information to client queries.
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