๐ช๐๐๐ง ๐๐ฆ ๐ฅ๐๐ ๐๐ก๐ ๐ช๐๐ฌ ๐๐ข๐ ๐ฃ๐๐ก๐๐๐ฆ ๐ฆ๐๐๐ฃ ๐๐๐ก๐-๐ง๐จ๐ก๐๐ก๐
You hear about RAG often. It stands for Retrieval-Augmented Generation. It is the industry standard for business AI.
LLMs like ChatGPT have flaws.
- They lack your private data.
- Their knowledge stops at a certain date.
- They make things up.
Many tried fine-tuning. They retrained models with internal PDFs. This is expensive. It is slow. It fails with new facts. You must retrain every time a document changes.
RAG works like an open book exam.
- Retrieval: Your files go into a vector database.
- Search: The system finds the right document first.
- Augmentation: It adds this text to the prompt.
- Generation: The AI writes the answer using the source.
RAG stops hallucinations. Tell the AI to use only the provided text. It is real-time. Update a PDF and the AI knows it instantly. It is secure. You control who sees what data.
Modern developers use RAG. It connects smart models to specific data. This makes AI accurate and trusted.
Source: https://dev.to/ai_code_5c8f03cd630c072b1/apa-itu-rag-retrieval-augmented-generation-mengapa-perusahaan-meninggalkan-fine-tuning-5eg2 Optional learning community: https://t.me/GyaanSetuAi