While deploying my project, i am facing issue regrading vectorStore and PineconeIndex

[vimekek357]

I while deploying my project, i am this getting error:

Type 'VectorOperationsApi' is missing the following properties from type 'Index<RecordMetadata>': config, target, deleteAll, deleteMany, and 6 more.ts(2740) pinecone.d.ts(8, 5): The expected type comes from property 'pineconeIndex' which is declared here on type 'PineconeLibArgs' (property) PineconeLibArgs.pineconeIndex: Index<RecordMetadata>

I am unable to understand what it is all about, neither I find solution on internet.

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

const pineconeIndex = pineconeClient.Index(
  process.env.PINECONE_INDEX! || ""
);

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;

}`

this is the part of code i am working with
type or paste code here

if you want complete code follow this link of github: [Git hub Project link](https://github.com/opcxder/ai-companion/blob/main/lib/memory.ts).

If anyone facing same issue, and solved it kindly help me out

[tim]

This is related to Langchain and not the Pinecone Typescript interface. Currently, the easiest workaround is to pass in an init’d pinecone client connection. Working with the code I got something like this.

// You currently define this.vectorDBClient = new PineconeClient();
// You should init the connection first
 await vectorDBClient.init({
   environment: process.env.PINECONE_ENVIRONMENT,
   apiKey: process.env.PINECONE_API_KEY
 });

const pineconeIndex = vectorDBClient.Index(
  process.env.PINECONE_INDEX_NAME as string
);

// Now the rest of your code as normal
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;

[vimekek357]

Thanks for seeing and solving my issue, as you can see i have already init vectorDBClient, So can you tell me if have i correctly init or not, or there is another syntax or logical error.

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

  public constructor() {
    this.history = Redis.fromEnv();
    this.vectorDBClient = new PineconeClient();
  }

  public async init() {
    if (this.vectorDBClient instanceof PineconeClient) {
      await this.vectorDBClient.init({
        apiKey: process.env.PINECONE_API_KEY!,
        environment: process.env.PINECONE_ENVIRONMENT!,
      });
    }
  }

  public async vectorSearch(
    recentChatHistory: string,
    companionFileName: string
  ) {
    const pineconeClient = <PineconeClient>this.vectorDBClient;
    
    const pineconeIndex = pineconeClient.Index(
      process.env.PINECONE_INDEX! || ""
    );

    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;
  }