Try out Table QA as well as our improved evaluation and debugging today! — We have been investing our time and effort into building Haystack because we believe in a future where state-of-the-art search is easily implementable in any software. Search technologies have been quietly evolving in the academic space and Transformer models have ushered in a paradigm shift. …

Right now, there are more chatbots out there than ever — you’ve probably seen them embedded in many of the websites that you visit. This great adoption is driven by different tools but especially by Rasa, the leading conversational AI platform. If you’ve ever built a chatbot yourself, you probably…

This article is the first in our series on optimizing your Haystack question answering system. We’ll link to the other articles here as they go online: Parameter-Tweaking Accelerate Your QA System with GPUs Picking The Right Reader Model Metadata Filtering There are many ways you can optimize a parameter-rich system…

Start using the latest in NLP driven search technology today! — By now we’re all aware of the power of data. Yet having access to data is only half the battle — what’s equally important is our ability to make sense of it. …

Two new datasets, three models and a paper to push forward German NLP — A model is only as good as the data it is fed. Anyone in the field of machine learning knows this. Great datasets like SQuAD and Natural Questions are the direct catalysts of the breakthroughs which have made neural search as powerful and flexible as it is today. Inspired by…

Build a fully featured pipeline using the latest features from Haystack v0.8.0 — Those of you who follow our GitHub repository will know that there has been a lot of activity on Haystack recently! Not only have we been working hard on a set of new features, but we’ve received a lot of great code contributions and had a lot of interesting and…

How to build a semantic engine for a better search experience — Haystack was born out of the belief that with the latest research from the field of Natural Language Processing, we can build search systems that can adapt to both your informational needs and way of speaking. …

A selection of QA focused papers that caught our attention — The fields of linguistics and NLP have much to offer one another and COLING 2020 showcased the best of the two fields when they cross-pollinate. The inclusion of an industry track is a sign in itself of the real world value of linguistics-driven NLP. deepset took part in the conference…

EMNLP was, for reasons beyond the organisers control, moved entirely online this year. I never would have guessed that my first contact with some of the most eminent researchers in NLP would be mediated through the pixelated 2D avatar of Gather’s online conferencing platform. …