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Vector Database Search - Hierarchical Navigable Small Worlds (HNSW) Explained

In this video, we explore how the hierarchical navigable small worlds (HNSW) algorithm works when we want to index vector databases, and how it can speed up the process of finding the most similar vectors in a database to a given query. Related Videos ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Why Language Models Hallucinate:    • Why LLMs Hallucinate   Grounding DINO, Open-Set Object Detection:    • Object Detection Part 8: Grounding DI...   Transformer Self-Attention Mechanism Explained:    • Transformer Self-Attention Mechanism ...   How to Fine-tune Large Language Models Like ChatGPT with Low-Rank Adaptation (LoRA):    • Low-Rank Adaptation (LoRA) Explained   Multi-Head Attention (MHA), Multi-Query Attention (MQA), Grouped Query Attention (GQA) Explained:    • Multi-Head Attention (MHA), Multi-Que...   LLM Prompt Engineering with Random Sampling: Temperature, Top-k, Top-p:    • LLM Prompt Engineering with Random Sa...   The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits:    • The Era of 1-bit LLMs: All Large Lang...   Contents ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 00:00 - Intro 00:17 - Vector database and search 01:42 - Navigable small worlds 03:29 - Skip linked lists 04:49 - Hierarchical Navigable Small Worlds 06:47 - HNSW Search Speed 07:49 - Outro Follow Me ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 🐦 Twitter: @datamlistic   / datamlistic   📸 Instagram: @datamlistic   / datamlistic   📱 TikTok: @datamlistic   / datamlistic   Channel Support ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ The best way to support the channel is to share the content. ;) If you'd like to also support the channel financially, donating the price of a coffee is always warmly welcomed! (completely optional and voluntary) ► Patreon:   / datamlistic   ► Bitcoin (BTC): 3C6Pkzyb5CjAUYrJxmpCaaNPVRgRVxxyTq ► Ethereum (ETH): 0x9Ac4eB94386C3e02b96599C05B7a8C71773c9281 ► Cardano (ADA): addr1v95rfxlslfzkvd8sr3exkh7st4qmgj4ywf5zcaxgqgdyunsj5juw5 ► Tether (USDT): 0xeC261d9b2EE4B6997a6a424067af165BAA4afE1a #vectordatabase #vectorsearch #rag #hnsw