The LangChain tutorial is shaping up nicely with a variety of key topics now added:
- Models: Detailed guidance on utilising text completion models and chat models from OpenAI and Hugging Face.
- Chains: Insights into how to link various components to act as a unified entity.
- Agents: An exploration into autonomous entities using large language models as reasoning systems and tools for interacting with the environment.
- Vector Stores: A deep dive into stores that can hold embeddings (vectors symbolising the meaning of text), perform semantic similarity searches among them, and use discovered text as context when querying large language models.