Missing vector search index creation in seed database

[pmosconi]

Hi,
thanks for the sample project.
I believe that seed-database.ts should contain the vector search index creation (at the end):

    // define Atlas Vector Search index
    const index = {
      name: "vector_index",
      type: "vectorSearch",
      definition: {
        fields: [
          {
            type: "vector",
            numDimensions: 1536,
            path: "embedding",
            similarity: "cosine"
          },
        ]
      }
    };
    await collection.createSearchIndex(index);
    console.log("Database vector index created");

[victorkuldeep]

That can be added on screen in MONGO Console. Also refine prompt sometimes LLM appends preambles

const prompt = `You are a helpful assistant that generates employee data. Generate 10 fictional employee records in CLEAN JSON FORMAT and no preamble. Each record should include the following fields: employee_id, first_name, last_name, date_of_birth, address, contact_details, job_details, work_location, reporting_manager, skills, performance_reviews, benefits, emergency_contact, notes. Ensure variety in the data and realistic values.

${parser.getFormatInstructions()}`;