What is Haystack NLP Framework?
Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-4, ChatGPT, etc.). It offers production-ready tools to build NLP backend services, e.g., question answering or semantic search.
Haystack NLP Framework is a tool in the Large Language Model Tools category of a tech stack.
Haystack NLP Framework is an open source tool with 10.2K GitHub stars and 1.3K GitHub forks. Here’s a link to Haystack NLP Framework's open source repository on GitHub
Who uses Haystack NLP Framework?
Haystack NLP Framework Integrations
Elasticsearch, FastAPI, ChatGPT, OpenSearch, and Milvus are some of the popular tools that integrate with Haystack NLP Framework. Here's a list of all 8 tools that integrate with Haystack NLP Framework.
Haystack NLP Framework's Features
- Question answering
- Semantic document search
- Latest models
- Vector databases
- Scalable pipelines
Haystack NLP Framework Alternatives & Comparisons
What are some alternatives to Haystack NLP Framework?
SpaCy
It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.
Transformers
It provides general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet…) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in 100+ languages and deep interoperability between TensorFlow 2.0 and PyTorch.
rasa NLU
rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.
Gensim
It is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.
Amazon Comprehend
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to discover insights from text. Amazon Comprehend provides Keyphrase Extraction, Sentiment Analysis, Entity Recognition, Topic Modeling, and Language Detection APIs so you can easily integrate natural language processing into your applications.
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