Client Success Story
OpenAI-based interactive engineering document solution.

Problem Statement:
There's a need for an interactive way to manage engineering
assets indexed and tagged. User should be able to interact with the asset’s
information using natural language processing. Users need an intuitive way to interact
with assets data with an option to search for information outside the documents in case if there are no proper matches.
Challenges:
Multiple sources of data, documents are stored in SharePoint, OneDrive, Manual Upload and we need
to fetch the documents from SharePoint and index and tag for further searching
Integration Overview:
Engineering assets document is managed in SharePoint. We
have used the following Azure services for integration -
- SharePoint - Customer SharePoint site, where all the document information is stored.
- Logic Apps - Synchronizing the data
between SharePoint and Azure for indexing and tagging.
- Cognitive Search - Azure cognitive
search service is used for indexing and tagging the document for further
processing.
- OpenAI - Azure OpenAI service is used for sharing interactive ways to find out the engineering assets information.
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Benefits:
Increased productivity: Spend less time
searching, more time solving.
Improved decision-making: Access accurate and
relevant information quickly.
Enhanced collaboration: Break down
communication barriers and share knowledge seamlessly
Reduced risk of errors: Avoid
misinterpretations of complex documents.
Unlocking innovation: Discover new insights and
connections, driving groundbreaking ideas.
Conclusion:
Natural language processing (NLP): Ask questions about technical documents
using your own words, no more sifting through menus or keywords.
Contextual understanding: The chatbot goes beyond simple retrieval, it
grasps the context of your query and provides relevant, insightful answers.
Relationship discovery: Uncover hidden connections between documents,
concepts, and data points, facilitating deeper understanding and innovation.
Summarization and extraction: Get concise summaries of complex documents or
extract specific information with ease.
Collaborative learning: The chatbot learns from your interactions and
improves its understanding over time, becoming a personalized knowledge
assistant.
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