| import requests |
| import json |
|
|
| def query_vectara(question, customer_id, api_key, corpus_key): |
| """Queries the uploaded documents in Vectara API v2 using the correct query format.""" |
| url = f"https://api.vectara.io/v2/corpora/{corpus_key}/query?query={question}" |
| headers = { |
| "x-api-key": api_key, |
| "Accept": "application/json" |
| } |
| |
| response = requests.get(url, headers=headers) |
| return response.json() |
|
|
| def process_queries(customer_id, api_key, corpus_key): |
| """Runs all predefined queries on the uploaded documents.""" |
| questions = [ |
| "Based on uploaded documents, what are the top four challenges of the Fintech sector in Saudi Arabia? list them in bullet points.", |
| "Based on uploaded documents, who are the top five leading companies in the Fintech sector in Saudi Arabia? list them in bullet points with brief information on each company.", |
| "Based on uploaded documents, summarize Saudi Arabia's Fintech Strategy in five key points.", |
| "Based on uploaded documents, describe STC Pay, its position in the market, and partners.", |
| "Based on uploaded documents, what are the key differences between Fintech in Saudi vs UAE?", |
| "Based on uploaded documents, summarize the Payment Services Provider Regulations (PSPR) in five bullet points." |
| ] |
| |
| results = {} |
| for question in questions: |
| response = query_vectara(question, customer_id, api_key, corpus_key) |
| results[question] = response |
| |
| return results |
|
|
