Latakia, Syria
Retrieval-Augmented Generation (RAG): Architecture & Pipelines
A technical deep dive into RAG systems, from chunking and embeddings to vector search, context retrieval, and LLM generation.
Learn • Build • Grow
Inside RAG
Learn how language models can be grounded in external knowledge using a measurable retrieval pipeline.
Topics
- Document ingestion
- Chunking strategies
- Embeddings
- Vector databases
- Semantic retrieval
- Context construction
- Reranking
- Evaluation
- Hallucination mitigation