“Who is an NLP expert?” - Lessons Learned from building an in-house QA-system
Innovations such as sentence-transformers, neural search and vector databases fueled a very fast development of question-answering systems recently. At scieneers, we wanted to test those components to satisfy our own information needs using a slack-bot that will answer our questions by reading through our internal documents and slack-conversations. We therefore leveraged the HayStack QA-Framework in combination with a Weaviate vector database and many fine-tuned NLP-models. This talk will give you insights in both, the technical challenges we faced and the organizational learnings we took.
This session took place in track Natural Language Processing and was classified suitable for intermediate domain / intermediate python by the speaker.