langchain-ai / langchain

🦜🔗 Build context-aware reasoning applications
https://python.langchain.com
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Unexpected end of JSON #14443

Closed andyjessop closed 5 months ago

andyjessop commented 9 months ago

System Info

npm version: "^0.0.203" MacOS Bun version: 1.0.15+b3bdf22eb

Who can help?

No response

Information

Related Components

Reproduction

The following code will cause this error:

import { Pinecone } from '@pinecone-database/pinecone';
import { VectorDBQAChain } from 'langchain/chains';
import { OpenAIEmbeddings } from 'langchain/embeddings/openai';
import { OpenAI } from 'langchain/llms/openai';
import { PineconeStore } from 'langchain/vectorstores/pinecone';

const pinecone = new Pinecone();

const indexKey = process.env.PINECONE_INDEX_KEY;

if (!indexKey) {
  throw new Error('PINECONE_INDEX_KEY is not set.');
}

const pineconeIndex = pinecone.Index(indexKey);

export async function queryDocuments(query: string, returnSourceDocuments = false) {
  const vectorStore = await PineconeStore.fromExistingIndex(
    new OpenAIEmbeddings({
      modelName: 'text-embedding-ada-002',
    }),
    {
      pineconeIndex,
    },
  );

  const model = new OpenAI({
    modelName: 'gpt-4-1106-preview',
  });

  const chain = VectorDBQAChain.fromLLM(model, vectorStore, {
    k: 5,
    returnSourceDocuments,
  });

  return await chain.call({ query });
}

The embeddings have been created and confirmed to exist in the Pinecone console, e.g.:

Screenshot 2023-12-08 at 13 46 24

Expected behavior

I would expect it to query the vector DB and correctly prompt GPT-4 with the results. But instead, I get the following error:

? Enter your query what is the third wave of dam
Creating query for "what is the third wave of dam"...
499 |             var _a;
500 |             return __generator(this, function (_b) {
501 |                 switch (_b.label) {
502 |                     case 0:
503 |                         _a = this.transformer;
504 |                         return [4 /*yield*/, this.raw.json()];
                                                   ^
SyntaxError: Unexpected end of JSON input
      at /Users/andy/dev/runestone/node_modules/@pinecone-database/pinecone/dist/pinecone-generated-ts-fetch/runtime.js:504:46
      at step (/Users/andy/dev/runestone/node_modules/@pinecone-database/pinecone/dist/pinecone-generated-ts-fetch/runtime.js:72:18)
      at /Users/andy/dev/runestone/node_modules/@pinecone-database/pinecone/dist/pinecone-generated-ts-fetch/runtime.js:53:53
      at /Users/andy/dev/runestone/node_modules/@pinecone-database/pinecone/dist/pinecone-generated-ts-fetch/runtime.js:47:9
      at new Promise (:1:21)
      at /Users/andy/dev/runestone/node_modules/@pinecone-database/pinecone/dist/pinecone-generated-ts-fetch/runtime.js:43:12
      at /Users/andy/dev/runestone/node_modules/@pinecone-database/pinecone/dist/pinecone-generated-ts-fetch/runtime.js:498:16
      at /Users/andy/dev/runestone/node_modules/@pinecone-database/pinecone/dist/pinecone-generated-ts-fetch/apis/VectorOperationsApi.js:405:46
      at step (/Users/andy/dev/runestone/node_modules/@pinecone-database/pinecone/dist/pinecone-generated-ts-fetch/apis/VectorOperationsApi.js:84:18)
dosubot[bot] commented 9 months ago

🤖

Hello @andyjessop! I'm Dosu, a friendly bot here to lend a helping hand. I can assist you with bug fixes, answer your questions, and even guide you on becoming a contributor to the LangChain repository. While we wait for a human maintainer to join us, feel free to ask me anything you need help with. Let's get your issue sorted out together!

The "SyntaxError: Unexpected end of JSON input" error typically occurs when you're trying to parse an empty document or a document with invalid JSON. In your case, it seems like the error is happening when you're trying to parse the response from the Pinecone API.

In the run method of the GoldenQueryAPIWrapper class, you're trying to load the response content as JSON here:

content = json.loads(response.content)

However, you're not checking if the response is successful before trying to parse it. If the response is not successful (i.e., the status code is not 200), the response content might not be valid JSON, which would cause the json.loads call to fail.

To fix this, you should check the status code of the response before trying to parse it. If the status code is not 200, you should handle the error appropriately. Here's an example of how you could do this:

if response.status_code == 200:
    content = json.loads(response.content)
    query_id = content["id"]
else:
    # Handle error here
    print(f"Error: Received status code {response.status_code}")
    return None

This will prevent the json.loads call from being made if the response is not successful, which should prevent the "SyntaxError: Unexpected end of JSON input" error from occurring. You can find more details about this in the GoldenQueryAPIWrapper class.

Regarding your question about the VectorDBQAChain class, it is a specialized class for performing question-answering tasks over a vector database. It inherits from the BaseQAWithSourcesChain class and adds specific functionality for working with vector databases. You can find more details about this in the VectorDBQAWithSourcesChain class.

The PineconeStore class in the LangChain codebase is a wrapper around the Pinecone vector store. It is used to interact with the Pinecone database, which is a vector database used for storing and retrieving high-dimensional vectors. You can find more details about this in the PineconeStore class.

I hope this helps! If you have any other questions, feel free to ask.

-Dosu

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