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...
向量数据库(Vector Database):向量数据库是一种存储特定信息和知识的数据库,可以在运行时与LLM合作,为其提供行业特定的信息。这通常通过嵌入(存储)向量(embedding vectors)来实现,这些向量可以表示文本、概念或任何其他类型的数据。 主体解决方案 在行业特定的大型语言模型(LLM)知识学习方面,有两个主要的解决方案:大模...
LLM 是指大型语言模型(Large Language Models),它们就像是一个超级作家,可以生成自然语言文本,或者理解和回答自然语言问题。但是,LLM 也有一些挑战,例如缺乏领域知识,缺乏长期记忆,缺乏事实一致性等。 为了解决这些挑战,Vector DB 就像是给 LLM 提供了一本百科全书,让 LLM 可以根据用户的查询,在 Vector DB 中检索相...
Vector databases are designed to store, manage, and index massive quantities of high-dimensional vector data efficiently that can help different types of queries, such as nearest neighbor. In this episode of the #AzureEnblementShow, Uli, Eric and David d
向量数据库则通过存储特定信息和知识，运行时与大型语言模型协同，提供行业特定信息。此方法在动态更新和资源效率上表现较好，但运行时延迟与系统复杂性可能增加。OpenAI提出利用嵌入式搜索实现问题解答，为两种解决方案提供参考。微调与向量数据库各有优缺点。微调在模型理解和生成连贯文本方面表现优越，但对资源...
In light of AI and machine learning developments, we explain VDBs' importance to LLM projects and delve deep into the significance of VDBs and LLMs.
There are two things that large language modes are really bad at. One is math, so don't ask it to do calculus for you, that's not going to work. As of today, the second one is, you cannot point a LLM to a structured database and have the system just au...
The prompt’s vectors are then used to do semantic searches in a vector database for an exact match or the top-K most similar vectors along with their corresponding data chunks, which are placed into the context of the prompt before sending it to the LLM. LangChain or LlamaIndex are ...
As we currently live amid the AI revolution, it is important to understand that a lot of these new applications rely on vector embedding. So let’s learn more about vector databases and why they are important to LLMs. What is a Vector Database?
The developer then uses the question’s finalized embedding to search the vector database. Vector databases help solve the problem of supporting a wide range of search options against a complex information source with many attributes and use cases. LLMs have spotlighted the versatility of vector ...