How to Build a Simple LCEL Chain in LangChain with Python
Learn how to build a simple LangChain LCEL chain with Python using ChatPromptTemplate, ChatOpenAI, and StrOutputParser in a beginner-friendly tutorial.
Learn how to build a simple LangChain LCEL chain with Python using ChatPromptTemplate, ChatOpenAI, and StrOutputParser in a beginner-friendly tutorial.
Build a simple Streamlit task tracker that reads from DuckDB, writes new rows, updates task status, and validates the result with SQL.
Learn when to use replace, append, or merge in a dlt pipeline with practical DuckDB examples and beginner-friendly explanations.
Build a beginner-friendly RAG chatbot with LangChain, Python, FAISS, and OpenAI by loading local text, creating embeddings, retrieving context, and answering questions from your own data.
Learn how LangChain document loaders turn text files, PDFs, and web pages into Document objects for RAG, summarization, and search workflows.
Learn how LangChain memory and chat history help AI apps keep context across messages, answer follow-up questions, and support more natural conversations.
Learn how LangChain output parsers help turn LLM responses into structured JSON that your Python applications can validate, reuse, and process.
Learn how LangChain prompt templates work and build reusable AI prompts with Python, ChatPromptTemplate, variables, and a chat model.
Learn how to load a local JSON file into DuckDB with dlt, inspect the result with SQL, and understand a simple data pipeline pattern.