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To pass the loaded index from one part of your application to another, you would typically load the index and then use it in your desired function or method. Here's an example of how you might do this using the WeaviateVectorStore in LlamaIndex:
First, you would load the index:
from llama_index import VectorStoreIndex, WeaviateVectorStore
import weaviate
resource_owner_config = weaviate.AuthClientPassword(
username="<username>",
password="<password>",
)
client = weaviate.Client(
"<https://llama-test-ezjahb4m.weaviate.network",>
auth_client_secret=resource_owner_config,
)
vector_store = WeaviateVectorStore(
weaviate_client=client, index_name="LlamaIndex"
)
loaded_index = VectorStoreIndex.from_vector_store(vector_store)Then, you can use the loaded index in another part of your application. For example, you might use it to query the index:
query_engine = loaded_index.as_query_engine()
response = query_engine.query("What happened at interleaf?")In this example, the
loaded_index is passed to the
as_query_engine method, which returns a
query_engine that you can use to query the index.
Remember to replace
<username> and
<password> with your actual username and password.
For more details, you can refer to the
LlamaIndex documentation ().
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Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
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