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Welcome to Agentic AI Hands-On Bootcamp! ๐ In this video, weโll explore FAISS (Facebook AI Similarity Search) โ a high-performance vector database built by Meta AI, designed for fast and efficient similarity search. Youโll learn: What is FAISS DB How FAISS stores & searches embeddings Step-by-step FAISS setup in LangChain Indexing & Searching concepts explained Difference between FAISS, Chroma, and Pinecone ๐ GitHub Repository (Code + Notes): ๐ https://github.com/dearnidhi/Agentic-AI-HandsOn-Bootcamp ๐ฉ Connect with me: ๐ LinkedIn: https://www.linkedin.com/in/nidhi-chouhan-544650b4/ ๐ธ Instagram: @dear_nidhi | @codenidhi โ๏ธ Email: nidhiyachouhan12@gmail.com โจ Donโt forget to LIKE ๐, SHARE ๐ข & SUBSCRIBE ๐ for more tutorials on LangChain, Vector Databases & RAG systems! faiss db, faiss vector database, facebook ai similarity search, LangChain FAISS, Agentic AI Bootcamp, Nidhi Chouhan, CodeNidhi, vector database tutorial, embeddings in NLP, AI bootcamp, semantic search, similarity search, faiss indexing, RAG pipeline, LangChain vectorstore, faiss vs chroma vs pinecone #FAISS #VectorDatabase #LangChain #AgenticAI #NidhiChouhan #CodeNidhi #AI #MachineLearning #LLM #RAG #Python #Embeddings #LangChainBootcamp #MetaAI #SemanticSearch #DataScience