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🚀 RAG Pipeline in 8 Steps (Explained Simply)

Name: 🚀 RAG Pipeline in 8 Steps (Explained Simply)
Uploaded: 2026-09-22T06:30:00.000Z
Channel: Aiswarya Venkitesh
Description: 🚀 RAG Pipeline in 8 Steps (Explained Simply) Retrieval-Augmented Generation (RAG) is how modern AI systems give accurate, context-aware answers instead of guessing. Here’s how it works 👇 1️⃣ Data Collection – Gather raw knowledge (docs, APIs, databases) 2️⃣ Chunking – Break data into smaller,…

This is a dev post classified by Jev as AI dev tools (a tutorial), kept by the Dev Radar because it carries real work, not commentary.

🚀 RAG Pipeline in 8 Steps (Explained Simply) Retrieval-Augmented Generation (RAG) is how modern AI systems give accurate, context-aware answers instead of guessing. Here’s how it works 👇 1️⃣ Data Collection – Gather raw knowledge (docs, APIs, databases) 2️⃣ Chunking – Break data into smaller, searchable pieces 3️⃣ Embedding – Convert text into numerical vectors 4️⃣ Vector Storage – Store embeddings for fast similarity search 5️⃣ Query Input – User asks a question 6️⃣ Retrieval – Fetch the most relevant chunks 7️⃣ Augmentation – Add retrieved context to the prompt 8️⃣ LLM Response – Generate

Posted by Aiswarya Venkitesh (2.1k followers) 2 h ago · 15 likes · 302 views · view the original post on X. Kept by the Dev Radar as AI dev tools.

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