Large language models (LLMs) have taken the world by storm, demonstrating unprecedented capabilities in natural language tasks. In this step-by-step tutorial, you'll leverage LLMs to build your own retrieval-augmented generation (RAG) chatbot using synthetic data with LangChain and Neo4j.

The RPython blog offers insights, tutorials, and updates on RPython, a subset of the Python programming language designed for writing interpreters and virtual machines. Developers can learn about RPython features, optimization techniques, and applications in building programming language implementations. Additionally, the blog covers topics such as JIT compilation, garbage collection, and static analysis using RPython, providing resources for compiler and language developers.

Real Python

Learn how to build custom chatbots using LangChain with Neo4j for retrieval-augmented generation (RAG). Deploy your chatbot with FastAPI and Streamlit.

Build an LLM RAG Chatbot With LangChain – Real Python

Chains and LangChain Expression Language (LCEL)