5 ms·
Hello this is Hamel, one of the authors (among the list of other amazing authors). Happy to answer any questions as well as tag any of my colleagues to answer a
by mloncode 2y ago
Hello this is Hamel, one of the authors (among the list of other amazing authors). Happy to answer any questions as well as tag any of my colleagues to answer any questions!
(Note: this is only Part 1 of 3 of a series that has already been written and the other 2 parts will be released shortly)
- umangrathi 2y agoIt was a great read, aligned on many thought processes from our own tinkering in breaking down tasks for LLM. Eagerly look forward to the next 2 parts, this one has been educational.
- sieszpak 2y agoI would like to know your opinion about grafRAG and the ontology. Knowledge Graphs (KG) are a game changer for companies with a lot of unstructured data in the context of applying them with LLM
- bbischof 2y agoBryan here, one of the authors. Sure. Ultimately, you want to use KG to increase your ability to do great retrieval. Why do graphs help with retrieval? Well, don’t overlook the classic pageant example: graphs provide signal about the interconnectivity of the docs. Also, sometimes the graph itself are a kind of object you want to retrieve over.
- rasmus1610 2y agoJust wanted to say Thank you for publishing something so valuable. So many great tips in there!
- dejobaan 2y agoThe breadth and (for lack of a better term) concreteness are just fantastic. Thank you for writing this!
- alach11 2y agoThis is a fantastic article, and I've already shared it with a few colleagues. I'm wondering if you prefer to provide few-shot examples in a single "message" or in a simulated back-and-forth conversation between the user and the assistant?