// the find
campusx-official/langchain-models
Codes related to the model component in LangChain
A set of numbered example scripts walking through LangChain's model layer — plain LLMs, chat models across OpenAI/Anthropic/Google/HuggingFace, and embedding models for query/doc similarity. It's a teaching repo (looks tied to a course) for developers who want copy-pasteable snippets showing how to wire up each LangChain model provider, not a library or framework to depend on.
Covers the same task across multiple providers side by side (OpenAI, Anthropic, Google, HF API, HF local), which is genuinely useful for comparing API shapes without digging through each provider's own docs. The embedding section includes a document similarity example, not just bare embedding calls, so you see an actual use case. Scripts are small and numbered in a logical progression from LLMs to chat models to embeddings.
Forks (241) are almost equal to stars (246), which is the classic signature of a course-companion repo being cloned by students rather than used as a tool — treat the star count as near-meaningless for judging real-world adoption. No last push since February 2025, so any of these snippets using provider SDKs that have since changed their APIs (OpenAI, Anthropic, and LangChain itself all ship breaking changes regularly) may silently fail or need patching. There's no indication of a README with setup instructions beyond requirements.txt, and a single flat test.py suggests no real test coverage — this is demo code, not something to vendor into a project.