Below is some Python code to generate the embeddings using LangChain’s OpenAIEmbeddings. That currently defaults to OpenAI’s ada-2 model, so you don’t need to specify it.

The advantages of LangChain are clean and simple code and the ability to swap models with minimal changes. Let’s try LangChain with the PaLM 2 large language model.

LangChain Sandbox provides a secure and isolated environment for executing untrusted Python code, using technologies like Pyodide and Deno for runtime isolation, safety, and reliability.

The code example used in the guide is a Langchain repository on GitHub. ... (MMR), which ensures that the retrieved documents or chunks are not from the same Python file.

In this video, I'll be showing you how to build your own custom AI agent within Python using Retrieval Augmented Generation (RAG) and LangChain. Even if you're an intermediate Python user, this ...