The InfoQ Podcast
Using ChatGPT to Search Enterprise Data with Pamela Fox
Nov 14, 2023
Pamela Fox, a cloud advocate in Python at Microsoft, discusses ChatGPT sample apps integrating with Azure OpenAI and Cognitive Search for querying enterprise data. They cover retrieval augmented generation (RAG) approach, using Azure Cognitive Search with vectors for better search results, integrating Chat GPT with Cognitive Search, JSON Lines for data processing and language interoperability, and pricing considerations for optimal usage.
33:54
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Quick takeaways
- One important takeaway from the podcast is the use of chat GPT in conjunction with Azure OpenAI and Cognitive Search to query enterprise data through a chat interface, showcasing the power of language models in retrieving augmented generation.
- Another key takeaway is the significance of evaluating and refining the prompt used for chat GPT to improve its performance, involving efforts to create an evaluation pipeline for measuring relevance, groundedness, and fluency of responses, as well as using few-shot prompting for better keyword searches.
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Overview of the Podcast
In this episode of the Infocue Podcast, the host interviews Pamela Fox, the Cloud Advocate in Python at Microsoft. They discuss the use of large language models, such as chat GPT, in various systems and applications. They explore how Python developers can leverage Microsoft products, including Azure, VS Code, and GitHub Codespaces. The conversation focuses on a specific sample app called chat GPT Enterprise Data with Azure OpenAI and Cognitive Search, which demonstrates retrieval augmented generation using chat GPT on customized data. Pamela explains how the app connects different components, including cognitive search and chat GPT, to answer user questions according to specific data sources.
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