What is the difference between

chroma is a vector store for storing embedding vectors

llama-index orchestrates a RAG pipeline over a vector database, allowing for complex retireval and response synthesis using LLMs, chatbots, agents, etc.

So llama-index uses chroma as the vector database?

It can yes -- we support a ton of different vector databases (chroma, qdrant, weaviate, etc.)

Oh ok gotcha. So if I’m starting out with dabbling into all this, should I explore doing some work with Chroma before stepping into llama-index? My python knowledge is pretty basic but I’m good at putting code snippets together 😅

And of course, any recommendations on where to learn the syntax for all of this?

Tbh I think the best route is understanding llama-index, and then jumping into a vector db of your choice

I would start with this
https://docs.llamaindex.ai/en/stable/getting_started/concepts.html

And then this little series
https://docs.llamaindex.ai/en/stable/understanding/understanding.html

the vector db's are plug & play

llama is the tech u want to know

Ok cool gotcha!

Thanks!