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description="Prepare documents by extracting content from PDFs, splitting content into sections, uploading to blob storage, and indexing in a search index.",
{"choices": [{"delta": {"role": "assistant"}, "context": {"data_points": {"text": ["Benefit_Options-2.pdf: There is a whistleblower policy."]}, "thoughts": [{"title": "Prompt to generate search query", "description": ["{'role': 'system', 'content': \"Below is a history of the conversation so far, and a new question asked by the user that needs to be answered by searching in a knowledge base.\\n You have access to Azure AI Search index with 100's of documents.\\n Generate a search query based on the conversation and the new question.\\n Do not include cited source filenames and document names e.g info.txt or doc.pdf in the search query terms.\\n Do not include any text inside [] or <<>> in the search query terms.\\n Do not include any special characters like '+'.\\n If the question is not in English, translate the question to English before generating the search query.\\n If you cannot generate a search query, return just the number 0.\\n \"}", "{'role': 'user', 'content': 'How did crypto do last year?'}", "{'role': 'assistant', 'content': 'Summarize Cryptocurrency Market Dynamics from last year'}", "{'role': 'user', 'content': 'What are my health plans?'}", "{'role': 'assistant', 'content': 'Show available health plans'}", "{'role': 'user', 'content': 'Generate search query for: What is the capital of France?'}"], "props": {"model": "gpt-35-turbo"}}, {"title": "Search using generated search query", "description": "capital of France", "props": {"use_semantic_captions": false, "use_semantic_ranker": false, "top": 3, "filter": null, "has_vector": true}}, {"title": "Search results", "description": [{"id": "file-Benefit_Options_pdf-42656E656669745F4F7074696F6E732E706466-page-2", "content": "There is a whistleblower policy.", "embedding": null, "imageEmbedding": null, "category": null, "sourcepage": "Benefit_Options-2.pdf", "sourcefile": "Benefit_Options.pdf", "oids": null, "groups": null, "captions": [{"additional_properties": {}, "text": "Caption: A whistleblower policy.", "highlights": []}], "score": 0.03279569745063782, "reranker_score": 3.4577205181121826}], "props": null}, {"title": "Prompt to generate answer", "description": ["{'role': 'system', 'content': 'Assistant helps the company employees with their healthcare plan questions, and questions about the employee handbook. Be brief in your answers.\\n Answer ONLY with the facts listed in the list of sources below. If there isn\\'t enough information below, say you don\\'t know. Do not generate answers that don\\'t use the sources below. If asking a clarifying question to the user would help, ask the question.\\n For tabular information return it as an html table. Do not return markdown format. If the question is not in English, answer in the language used in the question.\\n Each source has a name followed by colon and the actual information, always include the source name for each fact you use in the response. Use square brackets to reference the source, for example [info1.txt]. Don\\'t combine sources, list each source separately, for example [info1.txt][info2.pdf].\\n Generate 3 very brief follow-up questions that the user would likely ask next.\\n Enclose the follow-up questions in double angle brackets. Example:\\n <<Are there exclusions for prescriptions?>>\\n <<Which pharmacies can be ordered from?>>\\n <<What is the limit for over-the-counter medication?>>\\n Do no repeat questions that have already been asked.\\n Make sure the last question ends with \">>\".\\n \\n \\n '}", "{'role': 'user', 'content': 'What is the capital of France?\\n\\nSources:\\nBenefit_Options-2.pdf: There is a whistleblower policy.'}"], "props": {"model": "gpt-35-turbo"}}]}, "session_state": null, "finish_reason": null, "index": 0}], "object": "chat.completion.chunk"}
{"id": "test-id", "choices": [{"delta": {"content": "The capital of France is Paris. [Benefit_Options-2.pdf]. ", "function_call": null, "role": "assistant", "tool_calls": null}, "finish_reason": null, "index": 0, "logprobs": null}], "created": 1, "model": "gpt-35-turbo", "object": "chat.completion.chunk", "system_fingerprint": null, "usage": null}
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{"choices": [{"delta": {"role": "assistant"}, "context": {"followup_questions": ["What is the capital of Spain?"]}, "finish_reason": null, "index": 0}], "object": "chat.completion.chunk"}
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