RAG

  • Fine-Tuning vs RAG: Which One Does Your Project Actually Need?

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    Fine-tuning rewrites a model’s weights; RAG hands it documents at query time. A practical decision framework covering facts versus behaviour, freshness, cost, and failure modes, plus when to use both together.

  • Vector Databases Explained: How RAG Gives AI a Memory

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    How vector databases turn text into searchable geometry: embeddings, cosine similarity, approximate nearest-neighbour indexes like HNSW, and the full retrieval-augmented generation pipeline that gives LLMs a working memory.