When you type “invoice follow-up” into Google or a CRM, it often shows exact keyword matches.
But what if your note says “sent payment reminder to bakery client”?
That’s where Vector Search comes in.
It doesn’t just match words — it matches meaning.
Here’s why it’s a game-changer:
✅ Understands context, not just keywords
✅ Works even when you forget exact phrases
✅ Powers chatbots, semantic search, and intelligent note retrieval
✅ Can run on-device (with tools like FAISS or Milvus)
Whether you’re building a smart assistant, document search, or personal knowledge base — vector embeddings are the foundation.
And the best part?
You don’t need GPT-4 to use it. Smaller, offline-friendly models work great too.
💬 Curious: Have you used vector search in any of your products or experiments?
Let’s talk AI foundations that actually work 👇
#VectorSearch #AIExplained #SemanticSearch #OfflineAI #EdgeAI #LLM #AIForBuilders #AIProduct #TechForBharat #AIWithManish
