PineconeIndex RecordMetadata type problem using imports from "@pinecone-database/pinecone"; and "@langchain/pinecone";

[meshboy88]

I have been trying to incorporate vector store containing OpenAIEmbeddings indexed on pinecone. But i keep getting type error, no matter what i do.

At { pineconeIndex }, in this line:

const vectorStore = await PineconeStore.fromExistingIndex(
  new OpenAIEmbeddings({ openAIApiKey: process.env.OPENAI_API_KEY }),
  { pineconeIndex }
); 

Error: vectorstores.d.ts(11, 5): The expected type comes from property 'pineconeIndex' which is declared here on type 'PineconeStoreParams'

My Imports:

import { Redis } from "@upstash/redis";
import { OpenAIEmbeddings } from "@langchain/openai";
import { Pinecone, Index, RecordMetadata } from "@pinecone-database/pinecone";
import { PineconeStore } from "@langchain/pinecone";

Whole code:

import { Redis } from "@upstash/redis";
import { OpenAIEmbeddings } from "@langchain/openai";
import { Pinecone, Index, RecordMetadata } from "@pinecone-database/pinecone";
import { PineconeStore } from "@langchain/pinecone";

export type CompanionKey = {
companionName: string;
modelName: string;
userId: string;
};

export class MemoryManager {
private static instance: MemoryManager;
private history: Redis;
private vectorDBClient: Pinecone;

public constructor() {
this.history = Redis.fromEnv();
this.vectorDBClient = new Pinecone({
apiKey: process.env.PINECONE_API_KEY!,
environment: process.env.PINECONE_ENVIRONMENT!,
});
}

public async vectorSearch(
recentChatHistory: string,
companionFileName: string
) {
const pineconeClient = this.vectorDBClient;

const pineconeIndex = pineconeClient.Index(
    process.env.PINECONE_INDEX || ('' as string)
) as Index<RecordMetadata>;


 

const vectorStore = await PineconeStore.fromExistingIndex(
  new OpenAIEmbeddings({ openAIApiKey: process.env.OPENAI_API_KEY }),
  { pineconeIndex }
); 

const similarDocs = await vectorStore
  .similaritySearch(recentChatHistory, 3, { fileName: companionFileName })
  .catch((err) => {
    console.log("WARNING: failed to get vector search results.", err);
  });
return similarDocs;

}

public static async getInstance(): Promise {
if (!MemoryManager.instance) {
MemoryManager.instance = new MemoryManager();

}
return MemoryManager.instance;

}

private generateRedisCompanionKey(companionKey: CompanionKey): string {
return ${companionKey.companionName}-${companionKey.modelName}-${companionKey.userId};
}

public async writeToHistory(text: string, companionKey: CompanionKey) {
if (!companionKey || typeof companionKey.userId == "undefined") {
console.log("Companion key set incorrectly");
return "";
}

const key = this.generateRedisCompanionKey(companionKey);
const result = await this.history.zadd(key, {
  score: Date.now(),
  member: text,
});

return result;

}

public async readLatestHistory(companionKey: CompanionKey): Promise {
if (!companionKey || typeof companionKey.userId == "undefined") {
console.log("Companion key set incorrectly");
return "";
}

const key = this.generateRedisCompanionKey(companionKey);
let result = await this.history.zrange(key, 0, Date.now(), {
  byScore: true,
});

result = result.slice(-30).reverse();
const recentChats = result.reverse().join("\n");
return recentChats;

}

public async seedChatHistory(
seedContent: String,
delimiter: string = "\n",
companionKey: CompanionKey
) {
const key = this.generateRedisCompanionKey(companionKey);
if (await this.history.exists(key)) {
console.log("User already has chat history");
return;
}

const content = seedContent.split(delimiter);
let counter = 0;
for (const line of content) {
  await this.history.zadd(key, { score: counter, member: line });
  counter += 1;
}

}
}

[dosubot[bot]]

🤖

Hey @meshboy88, good to see you back! Diving into another intriguing challenge, I see? Let's crack this one together.

Based on the error message you provided, it seems like the issue is related to the type of the pineconeIndex object you're passing to the PineconeStore.fromExistingIndex method. The error message suggests that the pineconeIndex object is not of the expected type.

In your code, you're creating the pineconeIndex object like this:

const pineconeIndex = pineconeClient.Index(
    process.env.PINECONE_INDEX || ('' as string)
) as Index<RecordMetadata>;

And then you're passing it to the PineconeStore.fromExistingIndex method like this:

const vectorStore = await PineconeStore.fromExistingIndex(
  new OpenAIEmbeddings({ openAIApiKey: process.env.OPENAI_API_KEY }),
  { pineconeIndex }
); 

The error message suggests that the pineconeIndex object is not of the expected type. The expected type comes from the PineconeStoreParams interface, which is not explicitly defined in the provided context. However, based on the context, it seems like the pineconeIndex object should be an instance of the PineconeIndex class from the @pinecone-database/pinecone package.

To resolve this issue, you should ensure that the pineconeIndex object is an instance of the PineconeIndex class. Here's an example of how to do this:

import { PineconeIndex } from "@pinecone-database/pinecone";

// Create a PineconeIndex instance
let pineconeIndex: PineconeIndex = new PineconeIndex(...);

// Pass the PineconeIndex instance to the PineconeStore.fromExistingIndex method
const vectorStore = await PineconeStore.fromExistingIndex(
  new OpenAIEmbeddings({ openAIApiKey: process.env.OPENAI_API_KEY }),
  { pineconeIndex }
); 

Please replace the ... with the actual values or instances.

If this doesn't resolve your issue, could you please provide more information about the PineconeStoreParams interface and the PineconeIndex class? This would help me understand the issue better and provide a more accurate solution.

Sources

• libs/langchain-pinecone/src/vectorstores.ts
• libs/langchain-community/src/vectorstores/pinecone.ts

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[meshboy88]

Module '"@pinecone-database/pinecone"' has no exported member 'PineconeIndex'.ts(2305)

[nicitaacom]

same

Hello from 'Code With Antonio'

I solved it like this

[jasonunderstood]

Try updating your version of @pinecone-database/pinecone to get the latest type definitions, e.g.

"@pinecone-database/pinecone": "^2.0.0",

This worked for me. Good luck.

[kirandash]

This worked for me

"@pinecone-database/pinecone": "^2.2.2", "@langchain/pinecone": "^0.0.7"