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LangChain VS Haystack NLP Framework

Compare LangChain VS Haystack NLP Framework and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

LangChain logo LangChain

Framework for building applications with LLMs through composability

Haystack NLP Framework logo Haystack NLP Framework

Haystack is an open source NLP framework to build applications with Transformer models and LLMs.
  • LangChain Landing page
    Landing page //
    2024-05-17
  • Haystack NLP Framework Landing page
    Landing page //
    2023-12-11

LangChain videos

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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!
  • Review - What is LangChain?
  • Review - What is LangChain? - Fun & Easy AI

Haystack NLP Framework videos

No Haystack NLP Framework videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to LangChain and Haystack NLP Framework)

LangChain

Haystack NLP Framework

Utilities
52 52%
Utilities
48% 48
Communications
54 54%
Communications
46% 46
AI
52 52%
AI
48% 48
Large Language Model Tools
57 57%
Large Language Model Tools
43% 43

User comments

Share your experience with using LangChain and Haystack NLP Framework. For example, how are they different and which one is better?
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Social recommendations and mentions

Haystack NLP Framework might be a bit more popular than LangChain. We know about 5 links to it since March 2021 and only 4 links to 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 (4)

  • Bridging the Last Mile in LangChain Application Development
    Undoubtedly, LangChain is the most popular framework for AI application development at the moment. The advent of LangChain has greatly simplified the construction of AI applications based on Large Language Models (LLM). If we compare an AI application to a person, the LLM would be the "brain," while LangChain acts as the "limbs" by providing various tools and abstractions. Combined, they enable the creation of AI... - Source: dev.to / 29 days ago
  • 🦙 Llama-2-GGML-CSV-Chatbot 🤖
    Developed using Langchain and Streamlit technologies for enhanced performance. - Source: dev.to / 2 months ago
  • 👑 Top Open Source Projects of 2023 🚀
    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 / 3 months ago
  • 🆓 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 / 5 months ago

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 2 months 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 LangChain and Haystack NLP Framework, you can also consider the following products

Hugging Face - The Tamagotchi powered by Artificial Intelligence 🤗

MiniGPT-4 - Minigpt-4

Replika - Your Ai friend

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

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

Vercel AI SDK - An open source library for building AI-powered user interfaces.

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