Leverage Hazelcast's high-performance vector search for semantic search and fraud detection. Explore our scalable, low-latency solution today.
📚 Resources 📚 ✅ Written article & code → https://mdb.link/semantic-search-mongodb-atlas-vector-search-1ZIYVNvRVsY ✅ Vector Search Documentation→ https://mdb.link/vector-search-1ZIYVNvRVsY ✅ OpenAI → https://platform.openai.com/overview ✅ Create your first FREE M...
Demo: Oracle Database 23ai: Vector Search - Bring AI to your Data (2:43) Additional resources Tutorial: Fast and Precise Business and Semantic Data Search with AI Vector Search (56:48) Blog: Oracle Announces General Availability of AI Vector Search in Oracle Database 23ai Oracle Connect:...
Semantic gap. Vector search relies on vector representations of items to calculate similarity. There can, however, be a gap between the vector representation and the actual attributes of an item. For example, two bikes might be semantically similar but have different vector representations due to ...
Embeddings are a specific type of vector representation of content or a query, created by machine learning models that capture the semantic meaning of text or representations of other content such as images. Natural language machine learning models are trained on large amounts of data to identify ...
Vector search calculates and uses nearest neighbor algorithms by transforming all data into vector embeddings. In its most basic form, avector embeddingis a mathematical representation of an object as a list of numbers. Once in this numerical representation, the semantic similarity of objects now bec...
This blog offers an introduction to vector search and some of the technology behind it such as vector embeddings and neural networks.
In the current AI landscape, vector search is one of the hottest topics due to its applications in large language models (LLM) and generative AI.
Demo app for pgvector semantic search. Contribute to Giorgi/Semantic-Search-Demo development by creating an account on GitHub.
With the recent success of LLMs, semantic search is a perfect way to showcase vector similarity search in action using cuVS. In the following example, aDistilBERTtransformer model combined with each of the three ANN indexes is used to solve a simple question retrieval problem. The Simple Engl...