app.py

from flask import Flask
from flask import request
from pinecone import Pinecone, ServerlessSpec

import os


PINECONE_DB_API = os.environ.get('PINECONE_DB_API')
pc = Pinecone(api_key=PINECONE_DB_API)
index = pc.Index('fury-actor-py') # NOTE: FOR NOW

app = Flask(__name__)

@app.route("/query", methods=['POST'])
def query():
 """
 {
 embeddings: <embeddings_list>
 }
 """

 embeddings = request.get_json()['embeddings']

 matches = index.query(
 vector = embeddings,
 top_k = 3,
 include_metadata = True
 )

 return matches.to_dict()