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Updated 9 months ago

```AttributeError: 'tuple' object has no

Plain Text
AttributeError: 'tuple' object has no attribute 'node'
Traceback:
File "~/streamlit/runtime/scriptrunner/script_runner.py", line 535, in _run_script
    exec(code, module.__dict__)
File "~/main_production.py", line 225, in <module>
    response = get_response(prompt)
File "~/main_production.py", line 169, in get_response
    nodes = hybrid_retriever.retrieve(prompt.lower())
File "~/llama_index/legacy/core/base_retriever.py", line 230, in retrieve
    nodes = self._handle_recursive_retrieval(query_bundle, nodes)
File "~/llama_index/legacy/core/base_retriever.py", line 149, in _handle_recursive_retrieval
    node = n.node
why am I getting this error only for certain queries? @Logan M
L
k
3 comments
Seems like your hybrid retriever is maybe not returning the proper thing always?
returning nodes every time. fails just for this query, wondering why. why just this one query.
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class HybridRetriever(BaseRetriever):
    def __init__(self,vector_retriever_2000, bm25_retriever_2000):
        self.vector_retriever_2000 = vector_retriever_2000
        self.bm25_retriever_2000 = bm25_retriever_2000
        super().__init__()

    def _retrieve(self, query, **kwargs):
        bm25_nodes_2000 = self.bm25_retriever_2000.retrieve(query, **kwargs)
        vector_nodes_2000 = self.vector_retriever_2000.retrieve(query, **kwargs)
        all_nodes = bm25_nodes_2000 + vector_nodes_2000
        encoding = tiktoken.encoding_for_model("gpt-3.5-turbo")
        context_str = "\n\n".join([n.node.get_content(metadata_mode=MetadataMode.LLM).strip() for n in bm25_nodes_2000+vector_nodes_2000])
        num_token =  len(encoding.encode(context_str))
        print(num_token)
        if num_token > 3900:
            all_nodes = postprocessor.postprocess_nodes(nodes=all_nodes,query_bundle=QueryBundle(query_str=prompt.lower()))
            all_nodes = all_nodes[0:1]
        else:
            all_nodes = bm25_nodes_2000+vector_nodes_2000
        return all_nodes
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