OpenAI Responses API: Advanced Tweet Analysis with File & Web Search Integration

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This tutorial introduces the OpenAI Responses API and demonstrates its application in data analysis using Twitter data. We explore how the Responses API integrates chat completions, web search, and file search, making it a powerful tool for retrieving and analyzing both private and public data. The video covers key functionalities, including:

Connecting to a MongoDB database to store and retrieve tweets.
Creating a vector store in OpenAI and uploading tweets for semantic search.
Using file search to analyze private datasets.
Performing web search to retrieve real-time public data.
Leveraging stateful responses to maintain conversation history.
Combining file search and web search for enhanced retrieval-augmented generation (RAG).

By the end, viewers will understand how to use the OpenAI Responses API for AI-powered data retrieval and analysis, streamlining information extraction from structured and unstructured sources. 🚀

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