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I personally prefer MS Guidance. Langchain is just super bloated and complicated, to the point that I found it easier to just write the code myself. Plus, I don

I personally prefer MS Guidance. Langchain is just super bloated and complicated, to the point that I found it easier to just write the code myself. Plus, I don't think Langchain is a good long-term strategy given their involvement with VCs.

behnamoh 3y ago
Example: Say you want to use Llama models in langchain. They have TWO CONFLICTING documentations, only one of which works: 1. https://python.langchain.com/en/latest/modules/models/llms/integrations/llamacpp.html https://python.langchain.com/en/latest/modules/models/llms/i... 2. https://python.langchain.com/en/latest/reference/modules/llms.html#langchain.llms.LlamaCpp https://python.langchain.com/en/latest/reference/modules/llm... → Turns out, LlamaCppEmbeddings is from langchain.embeddings, not langchain.llms! I just gave up using langchain and one of the main reasons was its terrible docs.
- ShamelessC 3y ago
  Didn’t they just get funded too? Sounds like more of a side project than a serious venture.
bestcoder69 3y ago
Same. I feel like once you strip away the abstractions that you probably aren't going to use long-term, you're left with something that competes with python f-strings. And yep I've tried it at multiple points in its evolution and never found it useful even in my toy apps. It was just a time sink trying to figure out why their own abstractions didn't work with each other. For weeks after they released Chat API integration, I scoured the web for working examples of using an agent with ChatGPT-3.5turbo. Closest I got was Microsoft's VisualChatGPT, until I found out it used langchain+text-davinci, despite its name :( Langchain really seems to be entirely hype, to me. Like, nothing in production I've heard about actually uses it AFAIK. Not AutoGPT, not BabyAGI, nothing at any of the big companies, etc. But it's available in 2 languages and has integrations with everything under the sun, making it easy to adopt! Despite this lack of production usage with positive anecdotes, you're still hearing about this library a lot! Definitely doing the VC playbook. EDIT: Go to their discord and read the #ask-kapa-langchain channel. This is a retrieval augmented Q&A bot, powered by langchain, which (every time I've checked) has helped ~nobody. I'm really not trying to cherry-pick - this is something that should be rock solid if this software stack is useful at all.

behnamoh 3y ago

Example: Say you want to use Llama models in langchain. They have TWO CONFLICTING documentations, only one of which works: 1. https://python.langchain.com/en/latest/modules/models/llms/integrations/llamacpp.html https://python.langchain.com/en/latest/modules/models/llms/i... 2. https://python.langchain.com/en/latest/reference/modules/llms.html#langchain.llms.LlamaCpp https://python.langchain.com/en/latest/reference/modules/llm... → Turns out, LlamaCppEmbeddings is from langchain.embeddings, not langchain.llms! I just gave up using langchain and one of the main reasons was its terrible docs.

ShamelessC 3y ago
Didn’t they just get funded too? Sounds like more of a side project than a serious venture.

bestcoder69 3y ago

Same. I feel like once you strip away the abstractions that you probably aren't going to use long-term, you're left with something that competes with python f-strings. And yep I've tried it at multiple points in its evolution and never found it useful even in my toy apps. It was just a time sink trying to figure out why their own abstractions didn't work with each other. For weeks after they released Chat API integration, I scoured the web for working examples of using an agent with ChatGPT-3.5turbo. Closest I got was Microsoft's VisualChatGPT, until I found out it used langchain+text-davinci, despite its name :( Langchain really seems to be entirely hype, to me. Like, nothing in production I've heard about actually uses it AFAIK. Not AutoGPT, not BabyAGI, nothing at any of the big companies, etc. But it's available in 2 languages and has integrations with everything under the sun, making it easy to adopt! Despite this lack of production usage with positive anecdotes, you're still hearing about this library a lot! Definitely doing the VC playbook. EDIT: Go to their discord and read the #ask-kapa-langchain channel. This is a retrieval augmented Q&A bot, powered by langchain, which (every time I've checked) has helped ~nobody. I'm really not trying to cherry-pick - this is something that should be rock solid if this software stack is useful at all.