A Guide to Document Chunking and Vector Search
Building smarter search systems that understand your content
Aug 14, 202514 min read15
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Qdrant
Explain Qdrant vector DB concepts
Why Dense and Sparse Vectors Work Better Together: A Beginner's Guide to Multi-Vector Collections
Imagine you're looking for a book in a massive library. You might search by the exact title (keyword search) or describe what the book is about (semantic search). Sometimes you need both approaches to find exactly what you're looking for. This is pre...
Aug 14, 20256 min read27Qdrant 101
Introduction Qdrant is an open-source vector database designed for storing, searching, and managing high-dimensional vectors. It's particularly useful for AI applications like semantic search, recommendation systems, and RAG (Retrieval-Augmented Gene...
Aug 21, 20257 min read17