This repository was archived by the owner on Feb 17, 2025. It is now read-only.
This repository was archived by the owner on Feb 17, 2025. It is now read-only.
Create DeepSeek notebook #131
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Description
Description
I want to create a Jupyter notebook that walks the user through using LangChain(LC) to call DeepSeek(DS), both via their official API and/or Ollama.
- Notebook should start by making a "first API call" to DS using the
openai
Python library - Create an
llm
using LangChain's basemode
a. I remember there being a base model that you could load models through their ownbase_url
but I'm not sure if that exists after the massive overhauls the LC Python API went through - Pass the
llm
into a chain using LangChain Expression Language (if it still exists)
Failsafe:
- Find alternative steps to realize the aforementioned ideas
- DeepSeek integration w/ LangChain