Failing to retrieve documents because vector store is empty when storage context is loaded.

[rahulkrprajapati]

Failing to retrieve documents because vector store is empty when storage context is loaded.

storage_context = StorageContext.from_defaults(
                    docstore=self.docstore,
                    index_store=RedisIndexStore.from_redis_client(
                        redis_client=self.redis_client,
                        namespace=self.namespace
                    ),
                )

when setting this up an loading the data like after I close my app:

try:
                    indices = load_indices_from_storage(self.storage_context)
                    for index in indices:
                        print(index.index_id)
                    base_index = load_index_from_storage(storage_context)
                    print("[INFO] Index found at storage")
                except ValueError as e:
                    print("[INFO] No index found at storage")
                    base_index = VectorStoreIndex(
                        nodes=[],
                        storage_context=self.storage_context,
                    )

and the retrival is defined as:

base_retriever = base_index.as_retriever(
                similarity_top_k=self.similarity_top_k
            )
            retriever = AutoMergingRetriever(
                self.base_retriever, self.storage_context, verbose=True
            )
            postprocessor = SentenceTransformerRerank(
                model="cross-encoder/ms-marco-MiniLM-L-2-v2",
                top_n=similarity_top_k_reranker,
            )
            query_bundle = QueryBundle(query_str=query)
            retrived_nodes = retriever.retrieve(query_bundle)
            print("******Retrieved Nodes*******", retrived_nodes)
            rerank_nodes = postprocessor.postprocess_nodes(
                nodes=retrived_nodes, query_bundle=query_bundle
            )

this outputs empty retrieved nodes because I think that the vector store is empty.

[dosubot[bot]]

🤖

Hey @rahulkrprajapati! Great to see you back here. Hope everything else is going smooth for you! 😊

Based on the information you've provided, it seems like you're encountering an issue with retrieving nodes due to an empty vector store. This could be due to a few reasons:

1. No index in the storage context: If there are no indices in the storage context, the load_index_from_storage function will raise a ValueError stating "No index in storage context, check if you specified the right persist_dir." This means that the directory where the indices are stored might be incorrect or empty.

2. Incorrect index_id: If you are specifying an index_id that does not exist in the storage context, the load_indices_from_storage function will raise a ValueError stating "Failed to load index with ID {index_id}". This means that the index_id you are trying to load does not exist in the storage context.

3. Multiple indices in the storage context: If there are multiple indices in the storage context and you are not specifying an index_id, the load_index_from_storage function will raise a ValueError stating "Expected to load a single index, but got {len(indices)} instead. Please specify index_id." This means that you need to specify the index_id of the index you want to load when there are multiple indices in the storage context.

To resolve this issue, ensure that the storage context contains the correct indices, the persist_dir is correct, and the index_id is specified correctly when there are multiple indices. You can refer to the source code for more details.

Additionally, there was a similar issue reported in the LlamaIndex repository: [Question]: Nodes from PineconeVectorStore is empty. . The suggested solution was to use the vector store API directly or set a high top-k and retrieve all the nodes stored. Here's the suggested code snippet:

retriever = index.as_retriever(similarity_top_k=10000)
source_nodes = retriever.retrieve("fake")
nodes = [x.node for x in source_nodes]

Please try these solutions and let me know if you still encounter any issues.

Sources

• [Question]: Nodes from PineconeVectorStore is empty.
• llama-index-core/llama_index/core/indices/loading.py
• llama-index-core/tests/indices/test_loading.py

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