### Query documentation via HTTP GET Source: https://support.vlex.com/llms.txt Perform a search by providing a specific question and an optional end goal as query parameters. ```http GET https://support.vlex.com/master.md?ask=&goal= ``` -------------------------------- ### GET /master.md Source: https://support.vlex.com/llms.txt Performs a natural language query against the documentation index to retrieve an answer and relevant sources. ```APIDOC ## GET /master.md ### Description Perform a query against the documentation index to receive a direct answer and relevant excerpts. ### Method GET ### Endpoint https://support.vlex.com/master.md ### Parameters #### Query Parameters - **ask** (string) - Required - The immediate question to ask. - **goal** (string) - Optional - The broader end goal to help tailor the response. ``` -------------------------------- ### GET /vincent-by-vlex/vincent/contribute-to-the-knowledge-base.md Source: https://support.vlex.com/pt-br-vlex-library-knowledge-base Performs a natural language query against the documentation index to retrieve answers and relevant sources. ```APIDOC ## GET /vincent-by-vlex/vincent/contribute-to-the-knowledge-base.md ### Description Perform an HTTP GET request on the documentation index to ask a specific question and optionally provide an end goal to tailor the response. ### Method GET ### Endpoint https://support.vlex.com/vincent-by-vlex/vincent/contribute-to-the-knowledge-base.md ### Parameters #### Query Parameters - **ask** (string) - Required - The immediate question to ask, written in natural language. - **goal** (string) - Optional - Describes the broader end goal to help tailor the answer. ### Request Example GET https://support.vlex.com/vincent-by-vlex/vincent/contribute-to-the-knowledge-base.md?ask=How+do+I+contribute?&goal=improve+documentation ### Response #### Success Response (200) - **answer** (string) - A direct answer to the question. - **excerpts** (array) - Relevant excerpts from the documentation. - **sources** (array) - Sources used to generate the answer. ``` -------------------------------- ### Report Generation Prompt Configuration Source: https://support.vlex.com/vincent-by-vlex-1/vincent-studio/vincent-studio-workflow-examples/building-a-due-diligence-report-workflow.md Use this prompt structure within a 'Prompt with Context' step to generate a structured due diligence report using the provided template and user variables. ```text Generate the Report based on the “Due Diligence Report Template” for Business Acquisition, adapting it to the contingencies uploaded by the user. The draft must include: Cover Page and Introduction - Explain the context of the transaction. - Include the name of {target_company}, {buyer_company}, dates, and scope. - Briefly describe the areas analyzed. Executive Summary of Critical Contingencies (Red Flags) - Present the highest-impact contingencies identified. - Prioritize by impact and probability. - Use a summary table with columns: Area | Contingency | Impact | Probability | Recommendation Detailed Analysis by Area For each analyzed area: - Include a descriptive summary. - Add a complete table listing all contingencies sorted by impact. - Structure: # | Contingency | Impact | Probability | Recommendation Conclusions and Strategic Recommendations - Summarize the most relevant contingencies. - Recommend actions regarding: – Price negotiation – Warranty clauses – Mitigation plans - Include a final conclusion on the viability of the transaction. Maintain consistency and professional tone - Use clear, precise, technical language. - Maintain a corporate, neutral tone. - Do not invent information — use only the contingencies provided by the user. - If data is missing, use clear placeholders: [Data not provided]. ``` -------------------------------- ### Chronology of Facts Extraction Logic Source: https://support.vlex.com/vincent-by-vlex-1/vincent-studio/vincent-studio-workflow-examples/creating-a-tax-inspection-analysis-workflow.md Instructions for the AI to extract and format explicit facts from tax documents into a chronological table. ```text Extract only the explicit facts from the documents, including procedural facts where applicable. Return them in a table with the following columns: - Date (DD-MM-YYYY) - Fact - Source (document name or page number) Rules: - Sort the table in ascending order by date. - If there are multiple documents, combine all facts and remove duplicates. - If a fact does not include a date, leave that cell empty (do NOT infer dates). - Exclude opinions, inferences, and questions: only explicit facts. ``` === COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.