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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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@Daethyra

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@Daethyra

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.

  1. Notebook should start by making a "first API call" to DS using the openai Python library
  2. Create an llm using LangChain's basemode
    a. I remember there being a base model that you could load models through their own base_url but I'm not sure if that exists after the massive overhauls the LC Python API went through
  3. 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

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