GenAI RAG Retrieval [Algorithms and Techniques] | Ranking Algorithms | LLM | Learn RAG from Scratch

Welcome to the FreeBirds Crew and our RAG Playlist! 🎥 In this Part 4, we dive deep into the retrieval process in Retrieval-Augmented Generation (RAG) to discover how perfect context is found for queries.

We’ll explore:
1. What is retrieval in RAG?
2. Techniques like vector-based retrieval, sparse retrieval, hybrid retrieval, and neural models.
3. Ranking algorithms for refining results.
4. NLP techniques to optimise context, such as tokenisation, indexing, and more.

Watch as we break down algorithms like ANN Search, TF-IDF, BM25, DPR, and ColBERT—all with Python code examples! 🐍 Enhance your RAG system’s performance with practical tips and insights.

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