Basics-Of-Langchain

Please create .env file and put your api key as OPENAI_API_KEY.

agents.ipynb: This notebook explains the concept of agents in Langchain, covering how they interact and communicate within the system.
chains.ipynb: This notebook introduces chains in Langchain, elucidating their function and importance in the structure of the language model. We learn about the different types of chain and their use.
chatgpt_plugins.ipynb: This notebook provides an overview of how to utilize plugins with ChatGPT in Langchain for enhanced functionality.
evaluation.ipynb: This notebook discusses the methods and strategies for evaluating performance in Langchain.
indexes.ipynb: This notebook covers the concept of indexes in Langchain, focusing on their creation, usage, and maintenance.
memory.ipynb: This notebook explores the memory aspects of Langchain, explaining how data is stored and retrieved.
models_basics.ipynb: This notebook introduces the fundamental concepts of models in Langchain, detailing their structure and functionality.
models_prompts_parsers.ipynb: This notebook delves into the basics of models in Langchain, with a focus on prompts and parsers.

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Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
FAQ		FAQ
README.md		README.md
agents.ipynb		agents.ipynb
chains.ipynb		chains.ipynb
chatgbt_plugins.ipynb		chatgbt_plugins.ipynb
evaluation.ipynb		evaluation.ipynb
indexes.ipynb		indexes.ipynb
memory.ipynb		memory.ipynb
models_basics.ipynb		models_basics.ipynb
models_prompts_parsers.ipynb		models_prompts_parsers.ipynb
vectorstore.pkl		vectorstore.pkl