The post asks about the specific use cases that GPT Index can handle. The community members discuss that GPT Index allows you to define a structure over your data, so you can query over that structure. The quickstart tutorial uses a vector-store based index with embeddings, but through composability and other index structures, you can have more control over how to define a graph over your data. GPT Index can be used for QA and summarization, and potentially for text generation as well. The community members also mention that integration with chatbots is a TODO for one of them.
gpt index allows you to define a structure over your data, so that you can query over that structure. the quickstart tutorial is just a vector-store based index using embeddings, but through composability+other index structures you can have more control over how to define a graph over your data https://gpt-index.readthedocs.io/en/latest/guides/use_cases.html
