Software Engineering
Scaling up RAG with Vector Databases using JavaScript
Build and query a vector database for RAG: preprocess documents, store chunk embeddings in ChromaDB, retrieve relevant chunks with metadata filters and weighting, craft multi-chunk prompts, manage collection updates, and scale ingestion with batch strategies.
JavaScript
NodeJS
4 lessons
17 practices
2 hours
Badge for RAG Systems and Vector Databases,
RAG Systems and Vector Databases
Course details
Scaling Up RAG with Vector Databases: Document Chunking in JavaScript
Implementing Word-Based Text Chunking
Refining Text Chunking with Sentence Boundaries in JavaScript
Chunking Text with Overlap in JavaScript
Organizing Text Chunks with Metadata in JavaScript
Enhancing Text Chunking with Keyword Detection
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