File Search tool(RAG) from OpenAI
AI Summary
Video Summary: File Search Application with Conversation State Management
1. Introduction
- Discusses file search capabilities in the context of a new responses API and conversation state management.
2. Creating a Vector Store
- A Victor store is required for file search applications.
- Can be created via API or dashboard.
- Demonstrated creation of text files (1.txt and 2.txt) from Wikipedia articles.
- Files uploaded to a new Vector store labeled ‘test files’.
3. Using the File Search Tool
- Introduces conversation state management, which can be handled manually or automatically by OpenAI.
- Emphasizes the importance of adhering to documentation for accurate functionality.
- Creation of a chat application that leverages file search functionality.
4. Implementation Steps
- Code snippets shared for setting up the application, including the use of Victor store ID.
- Discussion of result retrieval customization using k-value (number of results fetched).
5. Functionality Testing
- Demonstrated querying and citing specific files related to user prompts.
- Examination of how the application handles general knowledge versus specific file-related queries.
6. Metadata Filtering
- Potential for metadata-driven search narrowing, particularly useful in large document collections.
- Discussion on attribute filtering for refining search results based on user-defined criteria.
7. Conclusion
- Summarizes capabilities and potential enhancements for the file search application.
- Encourages exploration of retrieval attributes and customization options.