AI SEARCH SECRETS | Flat vs IVF vs HNSW Explained in LangChain| Lecture 21

Hello Future AI Engineers! 👋
Welcome back to the LangChain Masterclass Series — and in Lecture 21, we’re diving deep into one of the most powerful concepts behind AI Search:
🧠 Vector Database Indexes (Flat, IVF & HNSW).

👉 Pydantic Course Link - https://www.udemy.com/course/pydantic...

👉 Perplexity Course Link - https://www.udemy.com/course/perplexi...

👉 1:1 Mentorship Link - https://topmate.io/pratham_chandratre

👉Complete LangChain Playlist -    • LangChain  

👉Complete Machine Learning Playlist -    • Machine Learning  

Have you ever wondered how AI systems like ChatGPT or RAG pipelines find the right information instantly among millions of vectors?

Today, you’ll learn:
🚀 What an index is in a vector database
⚙️ The difference between Flat, IVF, and HNSW indexes
⚡ When to use each one — accuracy vs. speed trade-offs
📚 How LangChain and FAISS use these index types for real-world RAG applications

By the end of this video, you’ll understand exactly how AI retrieves data faster than ever — and how to choose the right index for your own LangChain projects!

#LangChain #AI #VectorDatabases #RAG #MachineLearning #FAISS #Pinecone #Weaviate #Embeddings #ArtificialIntelligence #LangChainTutorial #HNSW #IVF #FlatIndex #SemanticSearch #LLM #AICourse #prathamchandratre