☄️ Approximate Nearest Neighbor (ANN) for Vector Search ▹ Previously, we discussed Retrieval Augmented Generation (RAG) and its role in augmenting data for Large Language Models (LLMs) and reducing hallucinations. ▹ A crucial element in RAG is the combination of a Vector database and ANN for efficient vector search. ▹ ANN algorithms swiftly locate points close to a specific query in vast datasets.There are a lot of algorithms commonly used to implement them, such as Facebook's FAISS, Google's ScaNN, and Spotify's ANNOY. 🚀 Join this *FREE* Webinar (https://lnkd.in/dCYsxzqK) to gain hands on experience on how to leverage ANN for real world applications. Registration guarantees you the code and demo recordings, so sign up even if you can't make it! See you there :)
Muhammad Faizan
9mo
Before this I always believed that ANN is Artificial Neural Network 😂
Aman Chadha
9mo
Looks informative!
Ex- BTSA-Intern@ZS | CSE '24 ,Jadavpur University| ISI Summer Intern 2022 | Android Developer | ML | NLP
9moCan i join as a Student?