Comments (1)
π€
Hi @mzeeshansikander! π
I'm Dosu, a friendly bot here to lend a helping hand while you're waiting for a human maintainer. From bug solving to answering questions, even helping you become a contributor, I'm at your service. π€π
The OpenAI is being utilized in the gpt4-pdf-chatbot-langchain repository via the OpenAIEmbeddings
class from the 'langchain/embeddings/openai' module. This class is responsible for generating embeddings for the text data, which are subsequently used in the Pinecone vector store.
Here is the relevant code snippet:
import { OpenAIEmbeddings } from 'langchain/embeddings/openai';
...
const vectorStore = await PineconeStore.fromExistingIndex(
new OpenAIEmbeddings({}),
{
pineconeIndex: index,
textKey: 'text',
namespace: PINECONE_NAME_SPACE, //namespace comes from your config folder
},
);
The OpenAIEmbeddings
class is initialized without any arguments, which suggests that it probably uses the OPENAI_API_KEY from the environment variables internally. If you comment out OPEN_AI_KEY, you might be receiving an error because the OpenAIEmbeddings
class cannot find the API key it needs to function properly.
However, without the source code of the OpenAIEmbeddings
class, it's difficult to confirm this. The actual implementation details of how the OPENAI_API_KEY is used would be in the 'langchain/embeddings/openai' module.
You can find more details in the pages/api/chat.ts file.
Please ensure that the OPENAI_API_KEY is correctly set in your environment variables. If the problem persists, it would be helpful to have more information about your setup or any changes you've made to the code.
Sources
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 π if this is helpful and π if it is irrelevant.
If you want to continue the conversation, start your reply with @dosu-bot.
from gpt4-pdf-chatbot-langchain.
Related Issues (20)
- Conversion of code into Python HOT 2
- PineconeError: Error, message length too large: found 5453452 bytes, the limit is: 4194304 bytes HOT 6
- source output HOT 1
- How to include more than 4 results from Pinecone? HOT 3
- How to change the BaseUrl if I use a proxy HOT 1
- Can ChatGPT 3.5 be supportedοΌ HOT 6
- Text words overlay display HOT 1
- Does this project accepts image read from PDF? HOT 5
- Enhancement - ability to use a graph database such as neo4j instead of vector database HOT 1
- enhancement - integrate with llamaindex HOT 3
- Explain data ingestion code. HOT 4
- "TypeError: Cannot read properties of undefined (reading 'text')" HOT 1
- error TypeError: ids is not iterable HOT 1
- Add support for Pinecone Serverless HOT 7
- Error: Azure OpenAI API instance name not found HOT 3
- FetchError: request to https://api.openai.com/v1/embeddings failed HOT 1
- run "yarn run ingest" Japanese punctuation marks were converted to Korean HOT 1
- I get this error when I open my local server: Cannot read properties of undefined (reading 'text') HOT 14
- error PineconeConnectionError HOT 1
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from gpt4-pdf-chatbot-langchain.