LangChain Embeddings Explained for Beginners: Turn Text into Vectors for RAG
Learn how LangChain embeddings turn text into vectors for RAG, semantic search, document retrieval, clustering, and similarity workflows.
Learn how LangChain embeddings turn text into vectors for RAG, semantic search, document retrieval, clustering, and similarity workflows.
Learn how to use Codex to create a dbt Gold model from existing Silver models with clear prompts, dbt ref(), YAML tests, and a practical review workflow.
Learn how to use Codex in Visual Studio Code, connect it to a local project, add AGENTS.md instructions, and start your first coding task.
Learn how LangChain text splitters break long documents into useful chunks for RAG, semantic search, summarization, and retrieval workflows.
Learn the difference between Codex and ChatGPT for coding, when to use each tool, and how beginners can combine them in a practical workflow.
Learn how to build a simple LangChain LCEL chain with Python using ChatPromptTemplate, ChatOpenAI, and StrOutputParser in a beginner-friendly tutorial.
Learn what makes a good AGENTS.md file for Codex, including project context, workflow rules, safety guidance, and a practical template.
Learn what AGENTS.md is in Codex, why project instructions matter, and how to use them to guide safer AI coding workflows.
Learn how to connect the Codex App to Jira with MCP using Atlassian's official Rovo MCP Server and the local mcp-remote proxy.