Stumped when using PineconeStore.fromExstingIndex() to create and query a vectorstore. No error, no results. Pinecone client query works fine.

[jstjoe]

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Example Code

import { Pinecone } from "@pinecone-database/pinecone";
import { OpenAIEmbeddings } from "@langchain/openai";
import { PineconeStore } from "@langchain/pinecone";

async function main() {

  const pinecone = new Pinecone();
  const pineconeIndex = pinecone.Index("tt-index");
  const pineconeNamespace = pineconeIndex.namespace("test-v0");
  const testSearch = await pineconeNamespace.query({ topK: 3, id: "f706a989-fdf6-4b53-8db6-e175c0068130" });
  console.log('testSearch:', testSearch);
  const embeddings = new OpenAIEmbeddings({
    model: "text-embedding-3-large",
  });
  // console.log('embeddings:', embeddings);
  const query = "sample query string";        
  const queryEmbed = await embeddings.embedQuery(query);     // this works
  console.log('embed query response: ', queryEmbed);         // this works
  const vectorStore = await PineconeStore.fromExistingIndex( // this doesn't?
    embeddings,
    { pineconeIndex: pineconeNamespace },
  );
  // here I want to perform a query. 
  // I've tried different available methods but can't get results or any response.
  const storeResults = await vectorStore.maxMarginalRelevanceSearch("pinecone", {
    k: 5,
    fetchK: 20,
  });
  console.log('Store Results: ', storeResults);
}

Description

• I'm trying to use Langchain's PineconeStore class to create a queryable vectorstore.
• Ultimately my goal is to use Pinecone as a retriever.
• I'm able to generate and return embeddings with the OpenAIEmbeddings instance.
• I'm able to query and get results from the Pinecone client, using the same index & namespace that I'm using to create the PineconeStore.
• No matter what I try, I can't get a response from the vectorStore which is my instance of PineconeStore.
• I'm an amateur. If you can even suggest how I can troubleshoot this further I will be very appreciative.

I've tried tracing with LangSmith etc and narrowed it down to this simple test case but I'm stuck. I'm really hoping it's something simple and obvious. Thank you.

System Info

Mac OS 14.4 (23E214)
Node.js v21.7.1
"@langchain/pinecone": "^0.0.4",
"@pinecone-database/pinecone": "^2.2.0",
"langchain": "^0.1.31",

[dosubot[bot]]

To address the issue with PineconeStore.fromExistingIndex() not returning results, let's focus on key areas for troubleshooting:

1. Check Index Initialization: Confirm that the Pinecone index (pineconeNamespace) is correctly initialized and populated with vectors. This is crucial for querying.

2. Verify Embeddings: Ensure that the embeddings for your documents were successfully generated and indexed in Pinecone. Issues here could lead to no results.

3. PineconeStore Initialization: Since you're using PineconeStore.fromExistingIndex(), ensure it's the correct method for your scenario. This method is intended for querying an existing, populated index. If the index is populated within this script, consider using a different initialization method.

4. Environment Variables: Double-check your environment variables related to Pinecone (PINECONE_API_KEY, PINECONE_ENVIRONMENT, PINECONE_INDEX) to ensure they're correctly set.

5. Query Translation and Filtering: Make sure your queries are correctly formatted for Pinecone and that any filtering matches your index's capabilities.

6. Compare Queries: Since direct queries to Pinecone work, compare these successful queries with those generated by your script to spot any differences.

7. Increase Logging: Add detailed logging around the querying process to capture any potential errors or warnings that might indicate the root cause of the issue.

This method, PineconeStore.fromExistingIndex(), is designed to work with an already populated Pinecone index, allowing you to perform searches without adding new documents. It's important that the index is properly set up and populated for this to work as expected.

If these steps don't resolve the issue, consulting the documentation for Langchain's PineconeStore and Pinecone's API or reaching out to their support might provide more specific guidance.

Sources

• examples/src/retrievers/pinecone_self_query.ts
• libs/langchain-pinecone/src/vectorstores.ts

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[jstjoe]

1. done, as evidenced by the fact that using the index to query works.
2. done
3. done, it is
4. I don't have a PINECONE_ENVIRONMENT but this works fine when I use the index directly
5. done, tried multiple with the same queries
6. done, see above
7. how? I can't find a way to make .fromExistingIndex() log anything at all.