向量数据库 (Vector Database) 是一种专门用于存储和处理向量数据的数据库。向量是一种由数字组成的数组,通常用于表示文本、图像、音频等数据的特征。向量数据库可以快速地搜索和分析向量数据,从而实现相似性搜索、聚类、分类等任务。 向量数据库通常使用基于向量相似性搜索的算法,如 K-近邻搜索、欧几里得距离等。这些...
https://www.pinecone.io/learn/vector-database/ 在这里其中对于 Vector DB 来说最主要的瓶颈还是在于第二步和第三步的索引,检索和压缩,因为 Vector DB 的目标和优势就是更好的处理大规模的数据: 向量索引与检索,这就像是超级英雄的重要武器之一,是 Vector DB 处理大规模数据的关键。向量索引的任务就是在海量...
What does using ObjectBox in Python look like? fromobjectboximportEntity,Id,Store,String@Entity()classPerson:id=Idname=String# The ObjectBox Store represents a database; keep it around...store=Store()# Get a box for the "Person" entity; a Box is the main interaction point with objects and...
The two most popular programming languages are Python and TypeScript.What is Similarity Search in Vector Databases? Similarity search, also known as vector search, vector similarity, or semantic search, refers to the process when an AI application efficiently retrieves vectors from the database ...
A Python vector database you just need - no more, no less. vectordbis a Pythonic vector database offers a comprehensive suite ofCRUD(Create, Read, Update, Delete) operations and robustscalability options, including sharding and replication. It's readily deployable in a variety of environments,...
我们希望向大家分享一下：引入知识图谱技术后，传统RAG链路到Graph RAG链路会有什么样的变化，如何兼容RAG中的向量数据库（Vector Database）和图数据库（Graph Database）基座，以及蚂蚁的Graph RAG开源技术方案和未来优化方向。二、传统RAG 首先回顾一下传统RAG的核心链路。（图：基于Vector的RAG链路）传统RAG的核心...
How to implement integrated vector database functionalities Vector database solutions Rodyti dar 2 Patarimas Visit our newSamples Galleryfor the latest Vector Database and RAG Pattern App Samples Vector databases are used in numerous domains and situations across analytical and generative AI, including...
(e.g., using an image as a query for an image database), or from different types of data (e.g., using text as a query for an image database). Then, you need to use a similarity measure that calculates how close or distant two vectors are in the vector space. The similarity ...
首先肯定是先连接到 TiDB 实例,目前官方提供了pythonSDK包tidb_vector,对SQLAlchemy、Peewee这样的ORM框架也有支持,具体可参考https://github.com/pingcap/tidb-vector-python 这里简单起见直接用pymysql手写 SQL 操作,以下连接参数都可以从 TiDB Cloud 控制台获取: ...
create database demo; # 切换到demo数据库 \c demo # 安装vector扩展 CREATE EXTENSION vector; # 创建测试表 CREATE TABLE test (id bigserial PRIMARY KEY, embedding vector(3)); # 插入测试数据 INSERT INTO test (embedding) VALUES ('[1,2,3]'), ('[4,5,6]'); ...