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import weaviate
from weaviate.connect import ConnectionParams
from weaviate.classes.config import Property, DataType
import weaviate.classes.config as Configure

COLLECT_NAME = "document"
client = weaviate.WeaviateClient(
    connection_params=ConnectionParams.from_url(
        "http://localhost:8080",
        grpc_port=50051

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from qdrant_client import QdrantClient
from qdrant_client.models import PointStruct
import random

client = QdrantClient(
    url="http://localhost:6333"
)

points = [
    PointStruct(

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// ChromaDB + Ollama を使用したベクトル検索のサンプルコード

// 必要なパッケージ:
// npm install chromadb ollama

import { ChromaClient } from 'chromadb';
import ollama from 'ollama';

// ChromaDBクライアントの初期化
const chromaClient = new ChromaClient({

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import chromadb
import ollama
import uuid

#
#
#
def test():
   # クライアントの初期化 (ローカルにデータベースファイルを作成)
    # インメモリで実行する場合は chromadb.Client() を使用します

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GOOGLE_GENAI_USE_VERTEXAI=FALSE
GOOGLE_API_KEY=your-key

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import glob
import os
from langchain_text_splitters import RecursiveCharacterTextSplitter
import ollama
import psycopg2
from pgvector.psycopg2 import register_vector

# PostgreSQL 接続
conn = psycopg2.connect(
    dbname="mydb",

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version: "3.9"
services:
  db:
    image: pgvector/pgvector:pg16
    container_name: pgvector-db
    restart: always
    environment:
      POSTGRES_USER: root
      POSTGRES_PASSWORD: admin
      POSTGRES_DB: mydb

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// app/lib/RpcClient.ts
import { spawn } from "child_process";

class RpcClient {
  constructor(command: any) {
    /* @ts-ignore */
    this.proc = spawn(command);
    /* @ts-ignore */
    this.idCounter = 1;
    /* @ts-ignore */

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/**
 * Cloudflare Workers - MCP Server with JSON-RPC 2.0
 * Model Context Protocol Remote Server Implementation
 */

export default {
  async fetch(request, env, ctx) {
    // CORS headers
    const corsHeaders = {
      'Access-Control-Allow-Origin': '*',

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const start = async function() {
  try{
      const item = {
        "jsonrpc": "2.0",
        "method": "tools/list",
        "id": 2
      }
      const response = await fetch("http://localhost:3000/mcp", {