Artificial Intelligence
Scaling up RAG with Vector Databases in Rust
Scale up your RAG system by building and querying a vector database. Learn to preprocess documents, store chunk embeddings in ChromaDB, retrieve relevant chunks, and construct prompts that can handle multiple context chunks. Additionally, see how to manage updates to your collection and how to approach large-scale ingestion using batch strategies.
ChromaDB
Rust
4 lessons
18 practices
2 hours
RAG Systems and Vector Databases
Course details
Chunking Text for Retrieval-Augmented Generation Systems
Mastering Document Chunking Basics
Preserve Sentence Boundaries in Chunks
Enhance Text Chunking Skills
Organize Chunks with Metadata
Enhance Text with Keyword Detection
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