Academy Course
Retrieval-Augmented Generation (RAG)
Build production RAG networks. Study indexing, vector databases, chunking strategies, semantic caching, and evaluation.
Course Syllabus
Syllabus 1: Document Pipelines
Loading PDF, HTML, JSON, parsing strategies, markdown chunking, and overlapping tokens.
Syllabus 2: Embeddings & Vector Stores
OpenAI embeddings, local HuggingFace embeddings, Pinecone, Qdrant, PGVector, indexing and similarity metrics.
Syllabus 3: Retrieval Optimization
Hybrid search, keyword sparse + dense dense, re-ranking with Cohere, and query expansion.
Syllabus 4: Architecture & Evaluation
Prompt templates, system guidance, context stuffing control, and evaluation frameworks.
Duration: 6 Weeks · Level: Intermediate
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