Vector Databases & Search Infrastructure

17 interview prep topics with adaptive MCQ tests.

Approximate Nearest Neighbor (ANN) Search
Approximate Nearest Neighbor (ANN) search is the cornerstone of modern AI retrieval systems, enabling sub-linear time…
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Binary Quantization for Embeddings
Binary Quantization for Embeddings is a critical optimization technique in 2026 for scaling vector search systems. It…
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ChromaDB
ChromaDB is an open-source, AI-native vector database designed specifically for rapid RAG (Retrieval-Augmented…
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Mastering Cosine Similarity
Cosine similarity is a fundamental metric in high-dimensional vector space analysis, measuring the cosine of the angle…
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Elasticsearch Vector Search
Elasticsearch Vector Search has evolved from a niche plugin to a first-class feature, enabling hybrid search…
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FAISS
FAISS (Facebook AI Similarity Search) is a library for efficient similarity search and clustering of dense vectors. In…
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HNSW Algorithm
The Hierarchical Navigable Small World (HNSW) algorithm is the industry-standard approach for Approximate Nearest…
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Metadata Filtering in Vector Search
Metadata filtering in vector search is the process of applying scalar constraints (e.g., category, timestamp, user_id)…
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Milvus
Milvus is a cloud-native, open-source vector database designed for massive-scale similarity search. In 2026, as AI…
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pgvector
pgvector is an open-source extension for PostgreSQL that enables high-dimensional vector storage and similarity search…
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Pinecone
Pinecone is a fully managed, cloud-native vector database designed for high-performance similarity search at scale. In…
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Qdrant
Qdrant is a high-performance, open-source vector database written in Rust, designed to handle high-dimensional…
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Sparse Vectors (SPLADE)
Sparse Vectors, specifically implemented via SPLADE (Sparse Lexical and Expansion), represent a paradigm shift in…
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Vector Index Rebuilding and Compaction
Vector index rebuilding and compaction are critical operations in modern vector databases, ensuring that Approximate…
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Vector Quantization
Vector Quantization (VQ) is a critical lossy compression technique used to reduce the memory footprint of…
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Vespa
Vespa is an open-source big data serving engine that combines vector search, lexical search, and machine learning model…
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Weaviate
Weaviate is an open-source, cloud-native vector database that stores both objects and vectors, allowing for combined…
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