500 Error when invoking AstraDBVectorStore from API route in Next.js 14

Kiran-Wicksteed commented 1 month ago

Checked other resources

[X] I added a very descriptive title to this issue.
[X] I searched the LangChain.js documentation with the integrated search.
[X] I used the GitHub search to find a similar question and didn't find it.
[X] I am sure that this is a bug in LangChain.js rather than my code.
[X] The bug is not resolved by updating to the latest stable version of LangChain (or the specific integration package).

Example Code

const astraConfig: AstraLibArgs = { token, endpoint, collection: collectionVar, collectionOptions: { vector: { dimension: 1536, metric: "cosine", }, }, };

export async function getVectorStore() { return AstraDBVectorStore.fromExistingIndex( new OpenAIEmbeddings({ modelName: "text-embedding-3-small" }), astraConfig ); }

//API Route Invokation const retriever = (await getVectorStore()).asRetriever();

Error Message and Stack Trace (if applicable)

Error: Error loading the fetch-h2 client for the DataAPIClient... try setting httpOptions.client to 'fetch'

Description

I'm getting an error when attempting to invoke my AstraDBVectorStore instance from an API route in Next.js 14.

Invoking this function elsewhere in my application works fine.

System Info

macOS 14.5 Node v20.6.1

dosubot[bot] commented 1 month ago

Hey there, @Kiran-Wicksteed! 👋 I'm here to assist you with any bugs, questions, or contributions while we wait for a human maintainer. Let's tackle this challenge together!

To resolve the 500 Error when invoking AstraDBVectorStore from an API route in your Next.js 14 application, you need to set the httpOptions.client to 'fetch' in the DataAPIClient initialization. This can be done by modifying the constructor of the AstraDBVectorStore class.

Here is the relevant part of the code with the necessary modification:

constructor(embeddings: EmbeddingsInterface, args: AstraLibArgs) {
  super(embeddings, args);
  const {
    token,
    endpoint,
    collection,
    collectionOptions,
    namespace,
    idKey,
    contentKey,
    skipCollectionProvisioning,
    ...callerArgs
  } = args;
  const dataAPIClient = new DataAPIClient(token, { caller: ["langchainjs"], httpOptions: { client: 'fetch' } });
  this.astraDBClient = dataAPIClient.db(endpoint, { namespace });
  this.skipCollectionProvisioning = skipCollectionProvisioning ?? false;
  if (this.skipCollectionProvisioning && collectionOptions) {
    throw new Error(
      "If 'skipCollectionProvisioning' has been set to true, 'collectionOptions' must not be defined"
    );
  }
  this.collectionName = collection;
  this.collectionOptions =
    AstraDBVectorStore.applyCollectionOptionsDefaults(collectionOptions);
  this.idKey = idKey ?? "_id";
  this.contentKey = contentKey ?? "text";
  this.caller = new AsyncCaller(callerArgs);

  if (args.batchSize) {
    console.warn(
      "[WARNING]: `batchSize` is deprecated, and no longer has any effect.\n`astra-db-ts` > 1.0.0 handles this internally."
    );
  }
}

By adding httpOptions: { client: 'fetch' } to the DataAPIClient initialization, you should be able to resolve the error ^[1].

#### Details

**About Dosu** This response is meant to be useful and save you time. It is **not meant to be a precise solution**, but rather a starting point for your own research. Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

To continue the conversation, mention @dosu.

Kiran-Wicksteed commented 1 month ago

@dosu, no luck with your approach

dosubot[bot] commented 1 month ago

If the previous approach didn't resolve the issue, let's try a few additional steps to troubleshoot and resolve the problem.

Ensure Dependencies are Up-to-Date: Make sure all relevant dependencies are up-to-date. Specifically, check the versions of @datastax/astra-db-ts, @langchain/core, @langchain/openai, and @langchain/community.
```
npm install @datastax/astra-db-ts@^1.0.0 @langchain/core@^0.0.14 @langchain/openai@^0.0.14 @langchain/community@^0.0.14
```
Check Environment Variables: Ensure that all necessary environment variables are correctly set. This includes ASTRA_DB_APPLICATION_TOKEN, ASTRA_DB_ENDPOINT, and any other required variables.

Verbose Logging: Enable verbose logging to get more detailed error messages. This can help identify the root cause of the issue.

const astraConfig: AstraLibArgs = {
 token,
 endpoint,
 collection: collectionVar,
 collectionOptions: {
   vector: {
     dimension: 1536,
     metric: "cosine",
   },
 },
 verbose: true, // Enable verbose logging
};

Test in Isolation: Create a minimal test case to isolate the issue. This can help determine if the problem is specific to the Next.js environment or a broader issue.

import { AstraDBVectorStore } from "@langchain/community";
import { OpenAIEmbeddings } from "@langchain/openai";

const astraConfig: AstraLibArgs = {
 token: process.env.ASTRA_DB_APPLICATION_TOKEN,
 endpoint: process.env.ASTRA_DB_ENDPOINT,
 collection: "test_collection",
 collectionOptions: {
   vector: {
     dimension: 1536,
     metric: "cosine",
   },
 },
};

async function testVectorStore() {
 try {
   const vectorStore = await AstraDBVectorStore.fromExistingIndex(
     new OpenAIEmbeddings({ modelName: "text-embedding-3-small" }),
     astraConfig
   );
   console.log("Vector store initialized successfully");
 } catch (error) {
   console.error("Error initializing vector store:", error);
 }
}

testVectorStore();

Check Node.js Compatibility: Ensure that the fetch-h2 client is compatible with your Node.js version (v20.6.1). There might be compatibility issues that need addressing.
Alternative HTTP Client: If the fetch-h2 client continues to cause issues, consider using an alternative HTTP client. Modify the DataAPIClient initialization to use a different client if possible.

If these steps do not resolve the issue, please provide any additional error messages or logs that might help in diagnosing the problem further.

#### Details

**About Dosu** This response is meant to be useful and save you time. It is **not meant to be a precise solution**, but rather a starting point for your own research. Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

To continue the conversation, mention @dosu.

jacoblee93 commented 1 month ago

Hey sorry you're running into this - have you set your route to run in a Node env? The integration is Node-only:

https://js.langchain.com/v0.2/docs/integrations/vectorstores/astradb

If you have, CC @mfortman11

langchain-ai / langchainjs