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similarity search

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Tencent Tech
Tencent Tech
Jul 4, 2023 · Databases

What Is a Vector Database and Why Is It the AI Engine’s Secret Weapon?

This article explains what vectors and vector databases are, how they differ from traditional databases, their core technologies, their relationship with large language models, market trends, and details of Tencent Cloud VectorDB’s capabilities, architecture, real‑world applications, and future competitive challenges.

AILLMTencent Cloud
0 likes · 10 min read
What Is a Vector Database and Why Is It the AI Engine’s Secret Weapon?
php中文网 Courses
php中文网 Courses
Jul 3, 2023 · Databases

Top 5 Revolutionary Vector Databases Transforming Machine Learning and Similarity Search (2023)

Vector databases store and search large-scale vector data, and in 2023 the five leading solutions—Chroma, Pinecone, Weaviate, Milvus, and Faiss—offer scalable, high-performance options for applications such as LLM-driven services, audio search, recommendation systems, image/video analysis, and semantic retrieval across various industries.

AILLMVector Database
0 likes · 4 min read
Top 5 Revolutionary Vector Databases Transforming Machine Learning and Similarity Search (2023)
IT Services Circle
IT Services Circle
Jun 26, 2023 · Databases

Understanding Vector Databases and Embedding Techniques

The article explains what vector databases are, how vectors and embeddings work, the main embedding methods such as matrix factorization, NLP and graph techniques, the characteristics and high‑availability requirements of vector databases, and common AI‑driven application scenarios like semantic search, recommendation and anomaly detection.

AIVector Databaseembedding
0 likes · 8 min read
Understanding Vector Databases and Embedding Techniques
JD Tech Talk
JD Tech Talk
Nov 30, 2020 · Big Data

Scalable Time Series Similarity Search in Big Data: Partitioning, Dimensionality Reduction, and LSH Approaches

This article examines the challenges of performing time‑series similarity queries on massive datasets and presents three scalable solutions—partition‑based indexing, dimensionality‑reduction using MinHash, and a combined approach with Locality Sensitive Hashing—to reduce computation while preserving similarity accuracy.

Big DataLSHMinHash
0 likes · 10 min read
Scalable Time Series Similarity Search in Big Data: Partitioning, Dimensionality Reduction, and LSH Approaches
360 Quality & Efficiency
360 Quality & Efficiency
Aug 23, 2019 · Artificial Intelligence

High‑Performance High‑Dimensional Vector KNN Search Using FAISS

This article introduces the background of vector representations in machine learning, explains the K‑Nearest Neighbors algorithm and its key parameters, reviews traditional tree‑based and modern high‑performance search solutions, and demonstrates how FAISS can achieve microsecond‑level KNN queries on large‑scale high‑dimensional data.

faisshigh-dimensionalkNN
0 likes · 5 min read
High‑Performance High‑Dimensional Vector KNN Search Using FAISS
Tencent Cloud Developer
Tencent Cloud Developer
Oct 16, 2018 · Databases

MSQL+: A Plugin Toolkit for Similarity Search in Distributed Relational Database Systems (VLDB 2018 Demo)

MSQL+ is a plugin toolkit that embeds similarity‑search capabilities directly into distributed relational databases such as Tencent’s TDSQL, using B‑tree indexes on generated signatures, customizable DIST functions, and various pivot‑selection strategies to enable scalable, SQL‑standard, approximate queries across sharded data.

Distributed DatabaseMSQL+RDBMS
0 likes · 12 min read
MSQL+: A Plugin Toolkit for Similarity Search in Distributed Relational Database Systems (VLDB 2018 Demo)