构建基于后端的大规模大学综合门户与大模型知识库
from flask import Flask, jsonify, request
app = Flask(__name__)
@app.route('/api/query', methods=['POST'])
def query():
data = request.get_json()
# 假设这是从知识库获取数据的逻辑
result = {"answer": "这是你的答案", "source": "知识库"}
return jsonify(result)
if __name__ == '__main__':
app.run(debug=True)
]]>
from elasticsearch import Elasticsearch
es = Elasticsearch()
# 导入数据示例
data = {
"doc": {
"question": "如何学习编程",
"answer": "可以从Python入门..."
}
}
es.index(index="knowledge_base", id=1, body=data)
]]>
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