Learn how to use ChromaDB, an open-source vector database, to store embeddings and give context to large language models in Python.

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

A video course covering how to use ChromaDB, an open-source vector database, to store and query embeddings in Python. Topics include representing unstructured data as vectors, working with word and text embeddings, encoding and querying documents, and providing relevant context to LLMs like ChatGPT. Aimed at Python developers with basic Python knowledge who want to build or augment LLM applications.

Vector Databases and Embeddings With ChromaDB – Real Python