What is a Vector Database? A vector database is an organized collection of vector embeddings that can be created, read, updated, and deleted at any point in time. Vector embeddings represent chunks of data, suc
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...
This article explores vector databases and embeddings, their use cases, and how they work. It also explains the key differences between vector and graph databases and offers a brief overview of popular solutions: Pinecone, Chroma, Milvus, Weaviate, and Qdrant. What is a vector database and vec...
1 What is a Vector Database? 2 What are Vector Embeddings? 3 What is RAG (Retrieval-Augmented Generation)? Embeddings are numerical machine learning representations of the semantic of the input data. They capture the meaning of complex, high-dimensional data, like text, images, or audio,...
Encode Objects in Embeddings Word Embeddings Text Embeddings Get Started With ChromaDB, an Open-Source Vector Database What Is a Vector Database? Meet ChromaDB for LLM Applications Practical Example: Add Context for a Large Language Model (LLM) Prepare and Inspect Your Dataset Create a Collect...
Vector embeddings are the core component of enabling machine learning and AI. But once data is turned into vectors, we need to store all the vectors in a highly scalable, highly performant repository called avector database. Once data has been transformed and stored as vectors, that data can...
Storing and searching for text embeddings enables content tagging, which is vital for content classification and organization in NLP applications.The growth of the vector database market in NLP is due to the increasing importance of efficient text data management and retrieval. As NLP plays a ...
这就是 Vector Data Base (VectorDB, 向量数据库),它就像一个超级大脑,帮助你解决这些问题! Vector DB 的用途远不止于此,它还能够帮助像 ChatGPT 这样的智能系统,从海量的数据中快速检索出最合适的答案,提高它们的准确性和效率。在当前大家普遍面临算力不足,难以对大语言模型进行微调的情况下,为大语言模型配备一...
A vector database is any database that can natively store and manage vector embeddings and handle the unstructured data they describe, such as documents, images, video, or audio. With the importance of vector search for generative AI, the tech industry has spawned many specialized, standalone ...
With a vector database, we can rapidly load and store events as embeddings and use our vector database as the brain that powers our AI models. This provides us contextual information, long-term memory retrieval, semantically-like data correlation, and much, much more. ...