Whenever the word database is mentioned, relational databases have long been the default choice for data storage due to their sim ...

Vector databases and vector searches are rapidly gaining popularity due to their speed and scalability. Unlike traditional machine learning models that require extensive training, vector searches can ...

Whenever the word database is mentioned, relational databases have long been the default choice for data storage due to their sim ...

Retrieval-augmented generation (RAG) has revolutionized the way we interact with data, offering unparalleled performanc ...

LangChain is a cutting-edge technology that revolutionizes the way we interact with language models. LangChain combines the power of large language models (LLMs) wi ...

Vector search looks for similar vectors or data points in a dataset based on their vector representations. Unlike proprietary vector databases such as Pinecone, Milvus, Qdrant, and Weaviate, MyScaleDB ...

Vector databases are explicitly designed to store and manage vector data, playing a crucial role in many AI applications, such as semantic text search and image search. While traditional term matching ...

In our previous blog, we explored how combining vector search with reranking methods addresses inherent limitation ...

Vector search can rapidly locate semantically similar or related candidates within massive amounts of text, images, and other data. However, in real-world scenarios, pure vector search is often insuff ...

Vector search looks for similar vectors or data points in a dataset based on their vector representations. However, pure vector search is rarely sufficient in real-world scenarios. Vectors usually com ...

As one of our earlier blog posts explored, vector search significantly advances information retrieval with a more nuanced and contextually aware appr ...

MyScale recently introduced the EmbedText function, a powerful feature that integrates SQL queries with text vectorization ...

Imagine you're a software developer looking for database optimization techniques, especially to boost the efficiency of queries in large-scale databases. In a traditional SQL database, you might use k ...