Vector search vs. lexical search An easy way to introduce vector search is by comparing it to the more conventional lexical search that you’re probably used to. Vector search, also commonly known as semantic search, and lexical search work very differently. Lexical search is the kind of searc...
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:...
Vector search is now part of the Hazelcast unified platform, enabling new use cases like semantic search, fraud detection and RAG. In addition, support for ingesting unstructured data has been added to the Pipeline API, making it simple to construct scalable, robust embedding pipelines and run th...
"key": SearchKey, "indexName": SearchIndex, "topNDocuments": 1, "queryType": "semantic", "semanticConfiguration": "", "fieldsMapping": None, "inScope": True, "roleInformation": "", "vectorQueries": [ { "vector": [], "k": 3, "fields": "", "kind": "" } ] } }...
Are you using large language models, but they only know information up until 2021? Do you want it to get with the times?! Well then, vector search may be just what you’re looking for. What is vector search? Vector search is a capability that allows you to do semantic search where yo...
See how Azure Cognitive Search combines different search strategies out of the box and at scale — so you don’t have to. Keyword search — match the exact words to search your grounding data Vector search — focuses on conceptual similarity, where the app ...
语义搜索Semantic_Search代码详解1.导入各个库 import warnings warnings.filterwarnings('ignore') from datasets import load_dataset from sentence_transformers import SentenceTransformer from pin…
Using approximate nearest neighbor (ANN) search to speed up dense vector retrieval Semantic-search using dense vectors In this chapter, we’ll start our journey into the emerging future of search, where we see the swell wave of hypercontectual vectors soak into the beaches of information retrieva...
Using approximate nearest neighbor (ANN) search to speed up dense vector retrieval Semantic-search using dense vectors In this chapter, we’ll start our journey into the emerging future of search, where we see the swell wave of hypercontectual vectors soak into the beaches of information retrieva...
Vector DatabaseSemantic Kernel Jul 4, 2023 0 2 Revolutionizing AI Search with Weaviate: An Interview with CEO Bob van Luijt John Maeda To use Weaviate with Semantic Kernel, visit the sample notebook on the Semantic Kernel GitHub repo. And if you like the repo, please give it a star...