RAG + Langchain Python Project: Easy AI/Chat For Your Docs

Learn how to build a "retrieval augmented generation" (RAG) app with Langchain and OpenAI in Python. You can use this to create chat-bots for your documents, books or files. You can also use it to build rich, interactive AI applications that use your data as a source. 👉 Links 🔗 Code: https://github.com/pixegami/langchain-rag-tutorial 📄 (Sample Data) AWS Docs: https://github.com/awsdocs/aws-lambda-developer-guide 📄 (Sample Data) Alice in Wonderland: https://www.gutenberg.org/ebooks/11 📚 Chapters 00:00 What is RAG? 01:36 Preparing the Data 05:05 Creating Chroma Database 06:36 What are Vector Embeddings? 09:38 Querying for Relevant Data 12:47 Crafting a Great Response 16:18 Wrapping Up #pixegami #python