What is Grounding?Grounding kya hai?

🧸 Think of it likeAise samjho

Like an open book exam: answer from the book in front of you, not from fuzzy memory.Open book exam jaisa: saamne rakhi kitaab se jawaab do, dhundhli yaad se nahi.

📘 ExplainedVistaar se

Grounded answers come from retrieved documents, databases or APIs placed in the prompt, ideally with citations. Grounding reduces hallucinations and keeps answers current. Instruct the model to answer only from the sources and to say when they don't contain the answer.Grounded jawaab prompt mein daale gaye retrieved documents, databases ya APIs se aate hain, behtar ho to citations ke saath. Grounding hallucinations kam karti hai aur jawaab current rakhti hai. Model ko kaho sirf sources se jawaab de aur bataaye jab sources mein jawaab na ho.

💡 Real exampleAsli example

Answering 'what is my leave balance?' by reading the HR system, not guessing.'Meri leave balance kitni hai?' ka jawaab andaaze se nahi, HR system padh kar dena.

📖 Learn it step by stepStep by step seekho

• RAG: letting an LLM answer from your documentsRAG: LLM ko aapke documents se jawaab dene dena
• AI safety in products: hallucinations, prompt injection and guardrailsProducts mein AI safety: hallucinations, prompt injection aur guardrails

🔗 Related termsJude hue shabd

• RAGLetting an LLM answer from your documents: search for relevant passages first, then generate an answer from them with citations.LLM ko aapke documents se jawaab dene dena: pehle relevant hisse dhoondho, phir unhi se citations ke saath jawaab banao.
• HallucinationWhen an AI confidently states something false or made up.Jab AI confidently kuch galat ya gadha hua bolta hai.
• CitationsShowing which document or passage an AI answer came from, so people can check it.Dikhana ki AI ka jawaab kis document ya hisse se aaya, taaki log check kar sakein.