[Bug]: QdrantVectorStore parser always expects a key called "text" in response

[deveshasha]

[Bug]: QdrantVectorStore parser always expects a key called "text" in response

[dosubot]

@deveshasha Hello there! I'm here to help you with any issues you encounter. If you have any questions or need assistance with bug fixes, feel free to ask!

To address the issue where the parse_to_query_result method in the QdrantVectorStore class expects a "text" key in the metadata, you can modify the method to check if the "text" key exists before attempting to access it. If the key does not exist, you can handle it gracefully by setting a default value or skipping the operation.

Here is an example modification:

def parse_to_query_result(self, response: List[Any]) -> VectorStoreQueryResult:
    """
    Convert vector store response to VectorStoreQueryResult.

    Args:
        response: List[Any]: List of results returned from the vector store.
    """
    nodes = []
    similarities = []
    ids = []

    for point in response:
        payload = cast(Payload, point.payload)
        try:
            node = metadata_dict_to_node(payload)
        except Exception:
            metadata, node_info, relationships = legacy_metadata_dict_to_node(
                payload
            )

            text = payload.get("text", "Default text")  # Check if "text" key exists
            node = TextNode(
                id_=str(point.id),
                text=text,
                metadata=metadata,
                start_char_idx=node_info.get("start", None),
                end_char_idx=node_info.get("end", None),
                relationships=relationships,
            )
        nodes.append(node)
        ids.append(str(point.id))
        try:
            similarities.append(point.score)
        except AttributeError:
            # certain requests do not return a score
            similarities.append(1.0)

    return VectorStoreQueryResult(nodes=nodes, similarities=similarities, ids=ids)

In this modification, the payload.get("text", "Default text") line checks if the "text" key exists in the payload. If it does not, it sets text to "Default text". This approach ensures that the method handles missing "text" keys gracefully by providing a default value ^[1][2][3].

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[cwtsoftware]

I was getting the same error:

ValidationError: 1 validation error for TextNode
text
  none is not an allowed value (type=type_error.none.not_allowed)

I was creating a VectoreStoreIndex with already created collection from before, few weeks time.

After some hours debugging and trying some stuff I've realized that after making a new collection in qdrant with openai embeddings, resolved the error.

I did not go into research to what exactly caused the bug but I guess something changed in the way that qdrant vectore store is created and that did not match with old version of creating embeddings.
I'm not sure if that makes sense but it resolved the error. Just sharing if someone else has the same problem :)