Closed andyjessop closed 5 months ago
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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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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:
The embeddings have been created and confirmed to exist in the Pinecone console, e.g.:
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: