BuildShip Vector Search

Provides context-aware answers to user queries by searching a vector database. Accepts a query string, the name of the vector field, and the collection name as input, retrieves relevant context using OpenAI embeddings and a Firestore vector search, and returns a concise, generated answer. The process generates an embedding for the query with OpenAI, searches the specified Firestore collection for similar vectors, stringifies the results, and uses OpenAI GPT to generate a final answer based on the retrieved context.