Chunking Strategies

Summary

Splitting long documents into smaller pieces before embedding them — chunk size and overlap directly affect retrieval quality, and getting this wrong silently degrades a RAG system.

How to Learn This

1Compare retrieval quality across different chunk sizes on the same document set.
2Learn fixed-size, sentence-aware and semantic chunking strategies.
3Practice adding overlap between chunks to avoid splitting relevant context awkwardly.

Vector Databases (Pinecone, Chroma, Weaviate, FAISS)

RAG Architecture

More topics in Retrieval-Augmented Generation & Vector Databases

Embeddings & Semantic Search Vector Databases (Pinecone, Chroma, Weaviate, FAISS)RAG Architecture Hybrid Search (Keyword + Vector)Reranking Context Window Management Evaluating RAG Pipelines Knowledge Graphs (Overview)

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