Software Alternatives & Reviews

LangChain VS Hugging Face

Compare LangChain VS Hugging Face and see what are their differences

LangChain logo LangChain

Framework for building applications with LLMs through composability

Hugging Face logo Hugging Face

The Tamagotchi powered by Artificial Intelligence ๐Ÿค—
Not present
  • Hugging Face Landing page
    Landing page //
    2023-09-19

LangChain videos

LangChain for LLMs is... basically just an Ansible playbook

More videos:

  • Review - Using ChatGPT with YOUR OWN Data. This is magical. (LangChain OpenAI API)
  • Review - LangChain Crash Course: Build a AutoGPT app in 25 minutes!

Hugging Face videos

No Hugging Face videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to LangChain and Hugging Face)
Utilities
100 100%
0% 0
Social & Communications
0 0%
100% 100
Communications
100 100%
0% 0
Chatbots
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Hugging Face seems to be a lot more popular than LangChain. While we know about 252 links to Hugging Face, we've tracked only 3 mentions of LangChain. 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.

LangChain mentions (3)

  • ๐Ÿฆ™ Llama-2-GGML-CSV-Chatbot ๐Ÿค–
    Developed using Langchain and Streamlit technologies for enhanced performance. - Source: dev.to / about 1 month ago
  • ๐Ÿ‘‘ Top Open Source Projects of 2023 ๐Ÿš€
    LangChain was first released in October 2022 as an open-source side project, a framework that makes developing AI applications more flexible. It got so popular that it was promptly turned into a startup. - Source: dev.to / 2 months ago
  • ๐Ÿ†“ Local & Open Source AI: a kind ollama & LlamaIndex intro
    Being able to plug third party frameworks (Langchain, LlamaIndex) so you can build complex projects. - Source: dev.to / 4 months ago

Hugging Face mentions (252)

  • Chat with your Github Repo using llama_index and chainlit
    HuggingFaceEmbeddings is a function that we use for converting our documents to vector which is called embedding, you can use any embedding model from huggingface, it will load the model on your local computer and create embeddings(you can use external api/service to create embeddings), then we just pass this to context and create index and store them into folder so we can reuse them and don't need to recalculate it. - Source: dev.to / 24 days ago
  • AI enthusiasm - episode #1๐Ÿš€
    The only requirement for this tutorial is to have an Hugging Face account. In order to get it:. - Source: dev.to / 30 days ago
  • Hosting Your Own AI Chatbot on Android Devices
    Finally, you'll need to download a compatible language model and copy it to the ~/llama.cpp/models directory. Head over to Hugging Face and search for a GGUF-formatted model that fits within your device's available RAM. I'd recommend starting with TinyLlama-1.1B. - Source: dev.to / about 1 month ago
  • Sentiment Analysis with PubNub Functions and HuggingFace
    At this point, probably everyone has heard about OpenAI, GPT-4, Claude or any of the popular Large Language Models (LLMs). However, using these LLMs in a production environment can be expensive or nondeterministic regarding its results. I guess that is the downside of being good at everything; you could be better at performing one specific task. This is where HuggingFace can utilized. HuggingFace provides... - Source: dev.to / about 1 month ago
  • PrivateGPT exploring the Documentation
    New models can be added by downloading GGUF format models to the models sub-directory from https://huggingface.co/. - Source: dev.to / about 2 months ago
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What are some alternatives?

When comparing LangChain and Hugging Face, you can also consider the following products

Haystack NLP Framework - Haystack is an open source NLP framework to build applications with Transformer models and LLMs.

Replika - Your Ai friend

MiniGPT-4 - Minigpt-4

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

Mitsuku - Browser-based, AI chat bot.

Humanloop - Train state-of-the-art language AI in the browser