I’m new to the Weaviate and the RAG scene. I’ve been playing around with LlamaIndex and essentially followed this guide but using the Confluence Reader for data ingestion. - https://gpt-index.readthedocs.io/en/latest/examples/vector_stores/WeaviateIndexDemo.html
For my use-case, I am trying to build a chat over my organization’s Confluence pages, but I’m having trouble getting the retrieval to retrieve the right pages without having to use ExactMatchFilter. This seems like a really manual process that I think would dampen user experience. I was wondering if anybody knows the best way to index the pages in such a way that users can just provide a general query to the RAG app like “What was discussed in the 5/11/2023 meeting notes?” and have it return an LLM generated analysis of the page titled “5/11/2023 Meeting Notes”.
Any help would be appreciated. Thanks!