Files
GenAIExamples/DocIndexRetriever/tests/test.py
minmin-intel a7eced4161 Update AgentQnA and DocIndexRetriever (#1564)
Signed-off-by: minmin-intel <minmin.hou@intel.com>
2025-02-22 09:51:26 +08:00

39 lines
1.1 KiB
Python

# Copyright (C) 2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import os
import requests
def search_knowledge_base(query: str) -> str:
"""Search the knowledge base for a specific query."""
url = os.environ.get("RETRIEVAL_TOOL_URL")
print(url)
proxies = {"http": ""}
payload = {"messages": query, "k": 5, "top_n": 2}
response = requests.post(url, json=payload, proxies=proxies)
print(response)
if "documents" in response.json():
docs = response.json()["documents"]
context = ""
for i, doc in enumerate(docs):
context += f"Doc[{i+1}]:\n{doc}\n"
return context
elif "text" in response.json():
return response.json()["text"]
elif "reranked_docs" in response.json():
docs = response.json()["reranked_docs"]
context = ""
for i, doc in enumerate(docs):
context += f"Doc[{i+1}]:\n{doc}\n"
return context
else:
return "Error parsing response from the knowledge base."
if __name__ == "__main__":
resp = search_knowledge_base("What is OPEA?")
# resp = search_knowledge_base("Thriller")
print(resp)