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The following modules are required/optional for this assistant:

Example AI Assistant Configuration:

Download the InvestmentRecommendation.zip file and unpack it. Upload the documents from the ZIP file to the Knowledge Center. Next, download the provided investment_research_assistant.txt file and upload it into a new space as an AI Assistant configuration.

Prompt Engineering Guide

By following these guidelines, you can enhance the effectiveness of your prompts and queries, leading to more accurate and useful responses from the Investment Research Assistant.

Extraction of Stock Data

If your initial query leads to no results, consider adjusting your search criteria. Here are some strategies:

• Refer to Your Stock Universe: Ensure your query aligns with the available data. For instance, if your stock universe includes features like sustainability rating and stock price, focus on those features. You can start by querying, "Give me one stock," to see all the features available.

• Be Specific in Your Queries: Provide clear and detailed context to avoid assumptions. Specify all relevant details to get accurate responses.

  • Original Query: "My client likes to have stocks in Germany with a good rating."

  • Modified Query: "My client likes to have tech stock in Germany with a buy rating."

Extraction of Fact Sheet Rationales

To effectively extract fact sheet rationales, be specific about what you need. If results are not as expected, adjust your query for more precision.

• Reference Previous Results: When referencing previous results, remember that you can only go back one iteration. Use the last message from the assistant to guide your next query.

• Identify the Correct Stock: If the investment rationale for the wrong stock is extracted, be specific. Instead of saying “Give me the rationale for the first stock,” say “Give me the rationale for AstraZeneca.”

Generating Follow-up Email

To generate effective follow-up emails, provide detailed instructions on content and tone. Follow these steps:

• Produce Fact Sheet Rationales First: First, produce the extraction of fact sheet rationales so that the LLM can see what can be used in the email text.

• Specify Tone and Length: Indicate whether the email should be long or short and the desired tone (formal, friendly, etc.). Example: "Generate a follow-up email with a formal tone, including detailed rationales for the above stocks."

General Prompt Engineering Tips

• Use Table Format: If you want a table format and the output is incorrectly a rational of a factsheet, explicitly state your requirement. "I want to see these stocks in a table format."

• Detail Extraction Requirements: When extracting from fact sheets but a table is created, specify that you want to extract from the fact sheet. “Extract the sustainability rating and growth outlook from the fact sheet of Microsoft.”

By adhering to these guidelines, you can optimize your interactions with the Investment Research Assistant, ensuring efficient and accurate data extraction, rationale generation, and follow-up communication.

Key Differentiators Compared to General Chat Solutions

These unique features position the Investment Research Assistant as a superior solution for Relationship Managers, offering unmatched compliance, accuracy, sector-specific insights, and integrated data handling.

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