v24 Enhanced AI Capabilities with Vector Support & Optimized Caching Performance We are thrilled to announce the general availability of Dgraph v24, which includes DQL and GraphQL support for Vector data type, HNSW vector indexes, and similarity search. Adding embeddings, from OpenAI, Mistral, or open-source models, to your knowledge graph…
Using Vector similarity search in GraphQL Similarity search in GraphQL This post shows a simple example of a GraphQL schema with vector embeddings and corresponding mutation and query. Deploy the following GraphQL schema: type Project { id: ID! title: String! @id title_v: [Float!] @embedding @search(by: ["hnsw(metric: euclidean, exponent: 4)"]) }…
Using Vector similarity search in DQL Similarity search in DQL Dgraph v24 introduces vector data type and similarity search to DQL query language. This post shows a simple example of using vector embeddings and similarity search. This example is using Ratel for the schema update, mutations and queries, but you…
Text Size 100%: － ＋ We are pleased to announce the general availability of a new feature of Oracle Machine Learning for Python (OML4Py), Spatial AI. OML4Py Spatial AI provides specialized machine learning algorithms that incorporate the effects of location. Using machine learning with spatial algorithms can improve model quality…
Text Size 100%: － ＋ Oracle Database Development has worked hard to deliver the next long-term support release of the Oracle Database, with a focus on AI and developer productivity: Oracle Database 23ai. Oracle Database 23ai introduces game-changing innovations in the areas of AI for data, Dev for data, and…
Add OpenAI, Mistral or open-source embeddings to your knowledge graph. Dgraph v24 introduces the much-expected merge of vector and graph database: vector support, HNSW index, and similarity search both in DQL and GraphQL. It is a major step to support GenAI RAG, classification, entity resolution, semantic search and many other…
Prefect’s orchestration and observability platform helps developers build and understand their data pipelines and, crucially, react to them. Providing a resilient and versatile product guides their mission to continuously evolve, adapt, and stay relevant to developer needs. It’s no surprise they are enabling the move to an event-based architecture, as…
There are many forums in the past couple of years where I have talked about how non-code contributions are just as important to MariaDB Server and us at the MariaDB Foundation as the code contributions I typically help with. I’ve also highlighted in the past how Intel have provided some…
This week, we welcome a blog post from Lago on how they used ClickHouse to scale an events engine and in the process speedup queries by up to 137x! An original version of this blog post was published on Github. Introduction # Like many companies, we had to change our…
Text Size 100%: － ＋ The graph features of Oracle Database enables developers to store and navigate relationships between entities. Developers, analysts, and data scientists can use graphs within Oracle Database. All you need to get started is an Oracle Database, though you may also want to use graph client libraries and…