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Hugging Face VS Haystack NLP Framework

Compare Hugging Face VS Haystack NLP Framework and see what are their differences

Hugging Face logo Hugging Face

The Tamagotchi powered by Artificial Intelligence 🤗

Haystack NLP Framework logo Haystack NLP Framework

Haystack is an open source NLP framework to build applications with Transformer models and LLMs.
  • Hugging Face Landing page
    Landing page //
    2023-09-19
  • Haystack NLP Framework Landing page
    Landing page //
    2023-12-11

Category Popularity

0-100% (relative to Hugging Face and Haystack NLP Framework)
Social & Communications
100 100%
0% 0
Utilities
0 0%
100% 100
AI
81 81%
19% 19
Chatbots
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Hugging Face seems to be a lot more popular than Haystack NLP Framework. While we know about 257 links to Hugging Face, we've tracked only 5 mentions of Haystack NLP Framework. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Hugging Face mentions (257)

  • Vector search in Manticore
    While looking into how to create text embeddings quickly and directly, we discovered a few helpful tools that allowed us to achieve our goal. Consequently, we created an easy-to-use PHP extension that can generate text embeddings. This extension lets you pick any model from Sentence Transformers on HuggingFace. It is built on the CandleML framework, which is written in Rust and is a part of the well-known... - Source: dev.to / about 22 hours ago
  • Understanding GPT: How To Implement a Simple GPT Model with PyTorch
    These libraries are fundamental for building and training our GPT model. PyTorch is a deep learning framework that provides flexibility and speed, while the Transformers library by Hugging Face offers pre-trained models and tokenizers, including GPT-2. - Source: dev.to / 5 days ago
  • Building a Simple Chatbot using GPT model - part 2
    Hugging Face is a company and community platform making AI accessible through open-source tools, libraries, and models. It is most notable for its transformers Python library, built for natural language processing applications. This library provides developers a way to integrate ML models hosted on Hugging Face into their projects and build comprehensive ML pipelines. - Source: dev.to / 14 days ago
  • Add Vector Search to Your Site
    We will use the OpenAI embeddings API to convert the content of the blog posts into vector embeddings. You will need to sign up for an API key on the OpenAI website to use the API. You will need to provide your credit card information as there is a cost associated with using the API. You can review the pricing on the OpenAI website. There are alternatives to generate embeddings. Hugging Face provides... - Source: dev.to / 12 days ago
  • How to run any LLM model with Hugging-Face 🤗
    Hugging-face 🤗 is a repository to host all the LLM models available in the world. https://huggingface.co/. - Source: dev.to / 20 days ago
View more

Haystack NLP Framework mentions (5)

  • Haystack DB – 10x faster than FAISS with binary embeddings by default
    I was confused for a bit but there is no relation to https://haystack.deepset.ai/. - Source: Hacker News / about 1 month ago
  • Release Radar • March 2024 Edition
    People like to be on the AI bandwagon, but to have good AI models, you need good LLM (large language models). Welcome to Haystack, it's an end-to-end LLM framework that allows you to build applications powered by LLMs, Transformer models, vector search and more. The latest version is a rewrite of the Haystack framework, and includes a new package, powerful pipelines, customisable components, prompt templating, and... - Source: dev.to / 2 months ago
  • Generative AI Frameworks and Tools Every Developer Should Know!
    Haystack can be classified as an end-to-end framework for building applications powered by various NLP technologies, including but not limited to generative AI. While it doesn't directly focus on building generative models from scratch, it provides a robust platform for:. - Source: dev.to / 6 months ago
  • Best way to programmatically extract data from a set of .pdf files?
    But if you want an API that you can use to develop your own flow, Haystack from Deepset could be worth a look. Source: 6 months ago
  • Which LLM framework(s) do you use in production and why?
    Haystack for production. We cannot afford breaking changes in our production apps. Its stable, documentation is excellent and did I mention its' STABLE!?? Source: 6 months ago

What are some alternatives?

When comparing Hugging Face and Haystack NLP Framework, you can also consider the following products

LangChain - Framework for building applications with LLMs through composability

Replika - Your Ai friend

MiniGPT-4 - Minigpt-4

Mitsuku - Browser-based, AI chat bot.

StableLM - StableLM: Stability AI Language Models. Contribute to Stability-AI/StableLM development by creating an account on GitHub.

Kuki - Kuki is a web-based application featuring a female chatbot of the same name who is meant to serve as ‘your AI BFF’.