AstraDB Component is running successfully but not populating database

[dhruvbangera]

Hi,
I'm using the prebuilt RAG workflow and have provided with all the correct components. My flow executes without any errors AND creates a collection in AstraDB, but the content isn't being uploaded.

Any suggestions as to why this is? I have used a token with Admin access
and tested out my openai embeddings as well.

[dosubot[bot]]

Hello @dhruvbangera! I'm here to help you with any bugs, questions, or contributions. Let's work together to solve the issue you're facing.

I found a similar closed issue that might help you troubleshoot the problem with the AstraDB component not populating the database. Here are some suggested solutions:

1. Add Code to AstraDB Component: Ensure that the following code is added to the AstraDB component. This should help with ingesting data into the Vector Store:

   if hasattr(self, "ingest_data") and self.ingest_data:
       logger.debug("Ingesting data into the Vector Store.")
       self._add_documents_to_vector_store(vector_store)

2. Check Data Formatting and Configuration: Make sure that the data is correctly formatted and all configurations are properly set. This includes checking the batch size and ensuring that the data is being processed correctly.

3. Handle "413 Request Entity Too Large" Error: If you encounter this error, try setting a batch size to manage the data upload. It may take some time for the number of vectors/records in the collection to update after upserting, so be patient and check again after some time.

4. Upgrade Langflow: Consider upgrading to the latest version of Langflow if the issue persists ^[1].

These steps should help you resolve the issue with the AstraDB component not populating the database.

To continue talking to Dosu, mention @dosu.

---

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[dhruvbangera]

I added the snippet and tested out, it says Astra DB Built successfully, but when i check my collection, there's no records in it. @dosu

[christo9090]

@dhruvbangera Did you ever figure this out? I have the same issue. Are you hosting langflow or is this local?

[dosubot[bot]]

If the AstraDB component is indicating a successful build but no records are appearing in your collection, consider the following troubleshooting steps:

1. Verify Document Preparation: Ensure that the documents you intend to add are correctly prepared and available in the vector_store_inputs. They should be in the expected format and not empty.

2. Check add_to_vector_store Attribute: Confirm that the add_to_vector_store attribute is set to True. This is necessary for the _add_documents_to_vector_store method to be invoked and for documents to be added to the vector store ^[1].

3. Logging and Debugging: Utilize the logging information provided by the component to trace the data ingestion process. Check the logs to see if there are any messages indicating the number of documents being added or if there are no documents to add ^[2].

4. Review Deletion Field Configuration: If you have set a deletion_field, ensure it is correctly configured. This field is used to delete existing documents before adding new ones, and misconfiguration might lead to unexpected deletions ^[1].

5. Error Handling: Although no errors are reported, ensure that any exceptions during the ingestion process are not being silently caught. The component raises a ValueError for errors, so check if any such exceptions are logged ^[2].

6. Data Format and Configuration: Double-check that the data format and configurations align with the requirements for successful ingestion. This includes ensuring that the data is correctly chunked and embedded before being added to the vector store.

If these steps do not resolve the issue, consider reviewing the specific configurations and parameters used in your setup to ensure they match the expected requirements for data ingestion.

To continue talking to Dosu, mention @dosu.

---

^{Help Dosu learn! Give it feedback: Great Response | Irrelevant Answer | Incorrect Sources | Too Verbose | Hallucination | Other}

[rayyin-ebtn]

I'm experiencing the same issue when using Pinecone when for the vector store. The only change I made was swap out the AstraDB component with the Pinecone component in the sample RAG flow. I've verified all my API keys and the Split Text component has data. Pinecone builds successfully and I can see the animations run, but data isn't inserted into my index.

This occurs in every version of Langflow >= 1.1.2. When I downgraded to version 1.1.1, data was succesfully loaded into my index.

I did some digging into the git history and found PR #5348 that removed the DataIngest class from the pinecone.py file. Should I open a new issue for this?