The post is asking about the difference in creating a Knowledge Graph Index with and without the "include_embeddings" field. The comments explain that including the embeddings can help with retrieval, but if the embeddings are not included, the system will still be able to answer questions using a keyword lookup on the extracted entities. There is no explicitly marked answer in the comments.
Hey anyone can help me in understanding the difference in creating Knowledge Graph Index with and without "include_embeddings" field index = KnowledgeGraphIndex.from_documents( documents, max_triplets_per_chunk=2, storage_context=storage_context, )
