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414,646 results
faiss
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Vector Databases simply explained. Learn what vector databases and vector embeddings are and how they work. Then I'll go ...
285,081 views
1 year ago
Vector databases are rapidly growing in popularity as a way to add long-term memory to LLMs like GPT-4, LLaMDA, and LLaMA.
944,892 views
Vector Databases explained. Let's learn what are vector databases and why do we need them. Their use-cases and role in ...
3,032 views
4 months ago
Vector similarity search is one of the fastest-growing domains in AI and machine learning. At its core, it is the process of matching ...
36,425 views
2 years ago
In this video learn about some important concepts in Text based generative AI like tokens, vectors, and similarity. Humans are ...
1,388 views
Learn how to use vector search and embeddings to easily combine your data with large language models like GPT-4. You will first ...
171,828 views
6 months ago
Facebook AI Similarity Search (FAISS) is one of the most popular implementations of efficient similarity search, but what is it-and ...
52,603 views
Let's face it, the challenge of search today is indexing billions of entries while delivering relevant results quickly. Traditional ...
1,915 views
Semantic search is a very effective way to search documents with a query. In this article, you'll learn how to use embeddings and ...
23,947 views
This is a quick introduction to cosine similarity - one of the most important similarity measures in machine learning! Cosine ...
7,178 views
11 months ago
Discover the synergy between Redis and vector embeddings in this video as we explore vector similarity search for facial ...
1,193 views
Facebook AI Similarity Search (Faiss) is a game-changer in the world of search. It allows us to efficiently search a huge range of ...
18,828 views
Spring I/O 2023 - Barcelona, 18-19 May Slides: ...
5,099 views
In today's tutorial, we are going to do a text similarity search with Milvus. Milvus is an open-source vector database. I'll show you ...
1,627 views
Vector similarity search can require huge amounts of memory. Indexes containing 1M dense vectors (a small dataset in today's ...
10,075 views
In this video I join KX VP of Product Led Growth Neil Kanungo to discuss how Vector embeddings can be used to perform image ...
236 views
7 months ago
106 views
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1,200 views
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8,300 views
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1,100 views
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In this tutorial you will walk through the process of storing images into KDB.AI using a pretrained neural network. You will then use ...
1,385 views
This article is about understanding vector embeddings and how they can assist in AI. The article explains the importance of ...
146 views
1 month ago