अपस्टैश और वर्सेल एआई एसडीके का उपयोग करके उन्नत एआई एप्लिकेशन बनाएं

अपस्टैश वेक्टर

npm i @upstash/vector

import { Index } from "@upstash/vector"
const index = new Index({
 url: <UPSTASH-VECTOR-ENDPOINT>,
 token: <UPSTASH-VECTOR-TOKEN>,
})
await index.upsert({
 id: "id1",
 vector: […],
 metadata: { metadata_field: "metadata_value" },
});
await index.query({
 vector: […],
 topK: 1,
 includeVectors: true,
 includeMetadata: true,
});

वर्सेल एआई एसडीके

एआई एसडीके कोर

`npm i ai`

import { generateText } from "ai"
import { openai } from "@ai-sdk/openai"
const { text } = await generateText({
 model: openai("gpt-4-turbo"),
 prompt: "What is love?"
})

एआई एसडीके यूआई

const { messages, input, handleInputChange, handleSubmit} =
 useChat({
 api: "api/chat",
 initialMessages: […],
 onResponse(response) {},
 streamMode: "text",
 });

एआई एसडीके आरएससी

const result = await streamUI({
 model: openai('gpt-4o'),
 prompt: 'Get the weather for San Francisco',
 text: ({ content }) => <div>{content}</div>,
 tools: {},
});

अपस्टैश रेडिस

npm i @upstash/redis

import { Redis } from '@upstash/redis'
const redis = new Redis({
 url: <UPSTASH-REDIS-ENDPOINT>,
 token: <UPSTASH-REDIS-TOKEN>,
})
const data = await redis.set('foo', 'bar');

npm install @upstash/ratelimit

import { Ratelimit } from "@upstash/ratelimit";
import { Redis } from "@upstash/redis";
 
// Create a new ratelimiter, that allows 10 requests per 10 seconds
const ratelimit = new Ratelimit({
 redis: Redis.fromEnv(),
 limiter: Ratelimit.slidingWindow(10, "10 s"),
 analytics: true,
 /**
 * Optional prefix for the keys used in redis. This is useful if you want to share a redis
 * instance with other applications and want to avoid key collisions.5
 */
 prefix: "prefix",
});
 
// Use a constant string to limit all requests with a single ratelimit
// Or use a userID, apiKey or ip address for individual limits.
const identifier = "identifier";
const { success } = await ratelimit.limit(identifier);
if (!success) {
 return "Unable to process at this time";
}
// rest of the code

वर्सेल एआई एसडीके के साथ अपस्टैश रेडिस और वेक्टर का उपयोग करना

import { embed } from 'ai';
import { openai } from '@ai-sdk/openai';
// 'embedding' is a single embedding object (number[])
const { embedding } = await embed({
 model: openai.embedding('text-embedding-3-small'),
 value: 'sunny day at the beach',
});

निष्कर्ष