The community member is asking about the difference between Llamaindex and Embeddings. A comment explains that Embeddings are used in vector indexes to generate numerical representations of text, which are then used to fetch text that best matches a query. The comment also notes that the Large Language Model (LLM) is what generates the natural language responses.
Embeddings are using in vector indexes, to generate numerical representations of text. These are used in vector indexes to fetch text that best matches the query
The LLM is what generates the natural language responses
