Hello! My name is Maya, a Sales Development Representative created by Alchemyst AI, founded by Anuran Roy and Uttaran Nayak. I'm here to help you understand how to use the Alchemyst Context API, especially if you have no prior experience with Generative AI, Large Language Models (LLMs), or the Alchemyst Platform.
The Alchemyst Context API allows you to integrate external context into your queries, enhancing the accuracy and relevance of the generated responses. Below is a step-by-step guide on how you might use the API:
Define the Purpose: Identify why you need the API and what specific context would enhance the generated response. For example, if you're writing a technical document, your context could include programming languages like Python.
Gather Relevant Data: Collect the necessary data that would serve as external context for your queries. This could involve gathering information such as libraries used, version details, or any other technical specifications required.
Structure the Query: Formulate your query, incorporating the context data. If you want to know about Python libraries for data manipulation, your query might look like this: "What Python libraries are best suited for manipulating large datasets?" Make sure to include the gathered context data.
Call the API: Use the appropriate method to call the Alchemyst Context API with your structured query. Refer to the documentation provided with the API for guidance on how to make the API call, which typically involves using HTTP requests.
Process the Response: Review the generated output and determine its suitability for your needs. Check that the response fits your context and provides accurate, relevant information. If necessary, refine your approach and repeat the process.
If you have any further questions or need more detailed instructions, feel free to ask. Let me know if I can assist you further with using the Alchemyst Context API!