02/03/2025
https://www.youtube.com/watch?v=Ssu_YeeITOI
🚀 Weaviate: The Open-Source Vector Database for Hybrid Search & AI
In this video, we explore Weaviate, an advanced open-source vector database designed for hybrid search, retrieval-augmented generation (RAG), semantic search, and recommendation systems. Unlike Pinecone (fully managed) or Qdrant (optimized for ANN search), Weaviate combines structured data, keyword search, and vector search into a powerful AI-driven system.
🔹 What You’ll Learn:
✅ Weaviate’s Storage Engine – How it handles real-time vector search and structured data.
✅ Indexing Algorithms – HNSW, BM25, hybrid search, and reranking models.
✅ Built-in Similarity Metrics – Cosine, Dot Product, L2-Squared, Hamming, Manhattan.
✅ Optimizations & Benefits – Schema-based storage, multi-tenancy, and real-time updates.
✅ Weaviate Use Cases – RAG (Retrieval-Augmented Generation), e-commerce search, multimodal retrieval.
✅ Comparison – Weaviate vs Pinecone vs Qdrant: Which one is right for you?
🔗 Learn More on My Website:
💡 If you found this helpful, don’t forget to:
👍 Like the video | 🔔 Subscribe for more AI & vector database content!
📌 Hashtags for Search Optimization:
🚀 Weaviate: The Open-Source Vector Database for Hybrid Search & AIIn this video, we explore Weaviate, an advanced open-source vector database designed for h...
