Make OpenAI Citation for File Retrieval RAG

This workflow is designed for:

• Developers seeking to automate citation retrieval from OpenAI's vector store.
• Researchers who need to ensure proper citation of sources in their work.
• Content Creators looking for efficient ways to integrate citations into their materials.
• Data Analysts who require accurate references from AI-generated content.
• Educators wanting to provide students with tools for proper source attribution.

This workflow addresses the challenge of retrieving accurate citations and sources from OpenAI's assistant when generating content. Often, the assistant may not provide all necessary citations, leading to incomplete or inaccurate references. By automating the process, users can ensure that all relevant citations are retrieved and formatted correctly, thus enhancing the reliability of their work.

1. Trigger the Workflow: The process starts with a manual trigger, allowing users to initiate the workflow whenever needed.
2. OpenAI Assistant Interaction: The workflow utilizes an OpenAI assistant integrated with a vector store to perform content retrieval.
3. Retrieve Thread Content: An HTTP request fetches all messages from a specific thread, ensuring that all relevant information is collected.
4. Split Messages: The workflow splits the retrieved messages into individual iterations, allowing for detailed processing of each message.
5. Extract Content and Citations: Each message's content and associated citations are separated for further handling.
6. File Name Retrieval: For each citation, the workflow makes an additional HTTP request to obtain the file name associated with the citation ID.
7. Regularize Output: The output is structured to contain essential information: citation ID, file name, and text.
8. Aggregate Data: All collected data is aggregated to facilitate a single request for formatting.
9. Format Output: The final step involves formatting the output using Markdown or HTML, ensuring citations are properly linked and presented.