Haystack NLP Framework VS LangChain

I was confused for a bit but there is no relation to https://haystack.deepset.ai/. - Source: Hacker News / 16 days ago

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 / about 1 month ago

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 / 5 months ago

But if you want an API that you can use to develop your own flow, Haystack from Deepset could be worth a look. Source: 5 months ago

Haystack for production. We cannot afford breaking changes in our production apps. Its stable, documentation is excellent and did I mention its' STABLE!?? Source: 5 months ago

Developed using Langchain and Streamlit technologies for enhanced performance. - Source: dev.to / about 1 month ago

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

Being able to plug third party frameworks (Langchain, LlamaIndex) so you can build complex projects. - Source: dev.to / 4 months ago