Are there any ressources / tutorials beside the docs to get a better understanding of what llamaIndex does and what possibilities there are? I understand the docs but i want to know when to use a list index or if a keyword table index is better than a vector index and so on. This is my first time dipping into the ai area so i dont have a lot of background.
Hey @Tobi we're actively working on improving the documentation. in the meantime these docs should give you some sense of the different use cases: https://gpt-index.readthedocs.io/en/latest/guides/use_cases.html. Use a list index for summarization queries, use a vector index for fact-based retrieval queries
