WebApr 3, 2024 · Latest models: Utilize all latest transformer-based models (for example, BERT, RoBERTa, MiniLM) for extractive QA, generative QA, and document retrieval. Modular: Multiple choices to fit your tech stack and use case. Pick your favorite database, file converter, or modeling framework. WebJun 24, 2024 · I have found in your tutorial how to use Generative QA but can I just take a model that work with french (BERT variant maybe ?) here ? generator = RAGenerator( model_name_or_path="facebook/rag-token-nq") Do you have any advice on wich one ? BetaWas this translation helpful? Give feedback. 1You must be logged in to vote …
AnswerGenerator - docs.haystack.deepset.ai
WebHaystack is an end-to-end framework that enables you to build powerful and production-ready pipelines for different search use cases. Whether you want to perform question answering (QA) or semantic document search, you can use the state-of-the-art NLP models in Haystack to provide unique search experiences and allow your users to query in … WebHaystack offers Long-Form Question Answering (LFQA) using the Seq2SeqGenerator, RAGenerator, or the PromptNode you can run on your own hardware. With Haystack, you can use an API to perform answer generation. GPT-3 from OpenAI is a large-scale generative language model that can be used in this question answering setting. playground on sloped yard
Generative QA with OpenAI - docs.pinecone.io
WebHaystack’s knowledge base tools make it quick and simple for employees to access the materials they need, no matter where they are. Share a unified company knowledge … WebThe meaning of HAYSTACK is a stack of hay. Recent Examples on the Web At the time, one popular theory for his height was that he was conceived on top of a haystack, … WebHaystack is a popular Python library for building QA pipelines, allowing us to create an LFQA pipeline with just a few lines of code. You can find the full LFQA code here. We start by installing the necessary libraries. !pip install -U 'farm-haystack [pinecone]'>=1.3.0 pinecone-client datasets Copy Data Preparation prime accountants \\u0026 business advisers limited