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4 hours
RAG & Knowledge Bases
Build document Q&A systems from scratch: chunking strategy to production deployment across Pinecone, pgvector, Chroma, and Weaviate.
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Key Topics Covered:
Vector DatabasesEmbeddingsPinecone
Curriculum
Lesson 1
RAG Architecture: The Full Pipeline
25 min
Lesson 2
Chunking Strategies: Size, Overlap, and Semantic Splitting
35 min
Lesson 3
Embedding Models: Choosing and Using Them
30 min
Lesson 4
Vector Databases: Pinecone, pgvector, Chroma, Weaviate
40 min
Lesson 5
Retrieval Strategies: Dense, Sparse, and Hybrid Search
35 min
Lesson 6
Evaluating and Improving RAG System Accuracy
35 min