Embeddings are numerical representations of data, capturing the semantic essence of words or phrases. These embeddings are enc ...

Hybrid search is a powerful technique that integrates multiple search algorithms to enhance the accuracy and relevance of search results. Combining the strengths of full-text and vector search capabil ...

If you want to build AI applications quickly, Dify offers an efficient solution. If you’re looking for a vector database optimized for handling and retrieving vector data within Dify for your AI appli ...

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

The explosive growth of global data, projected to reach 181 zettabytes by 2025, with 80% being unstructured, poses a challenge for traditiona ...

As LLM applications continue to evolve (and improve), achieving robust observability is critical for ensuring optimal performance and reliability. However, tracing and storing runtime events in LLM ap ...

MyScale is a fully managed SQL vector database built on ClickHouse, offering advanced vector search capabilities. In version 1.5.0 of MyScale, we introduced an upgraded full-te ...

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

Large Language Model—LLM—applications, such as Retrieval-Augmented Generation (RAG) apps, are fueling a surge in vector database usage. Many LLM- ...

This blog was originally published on Usama's Blog In the past, I have been using ClickHouse for different Data ...

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 ...

In this blog, we dive into how MyScale achieves zero downtime during Kubernetes (k8s) upgrades for its replicated clusters. Hosted on the AWS cloud and utilizing Amazon EKS, MyScale offers a resilient ...