Find answers from the community

Updated 3 months ago

vector index class with multiple vector stores?

vector index class with multiple vector stores?
k
2 comments
Please stand by @andysingal as I search the knowledge base. I normally take about 20 seconds or so. :wave:
----------------------
LlamaIndex provides a class called VectorStoreIndex for creating an index with vector stores. This class can be used with multiple vector stores. Here is an example of how to create an instance of VectorStoreIndex from a pre-existing vector store:

Plain Text
new_index_instance = VectorStoreIndex.from_vector_store(
vector_store=new_vector_store
)


For multi-modal use cases, LlamaIndex provides a built-in MultiModalVectorStoreIndex that supports building separate vector stores for image and text embedding vector stores.

Plain Text
from llama_index import MultiModalVectorStoreIndex
# Assuming you have image and text embedding vector stores
multi_modal_index = MultiModalVectorStoreIndex(image_vector_store, text_vector_store)


Please note that the above code is a pseudo-code and may not work directly. You need to replace image_vector_store and text_vector_store with your actual vector stores.

For more details, you can refer to the following sources:
  • VectorStoreIndex ()
  • MultiModalVectorStoreIndex ()
----------------------
Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
----------------------
Add a reply
Sign up and join the conversation on Discord