Vic 🌮 marry, make sweet hot passionate love to it and raise kids with it till I grow old and die: SurrealDB

Sunday Spotlight: ICYMI, network capabilities have landed in Surreal Cloud ☁️ • Fine‑grained allow/deny lists for any host, CIDR range or wildcard • Switch between ‘deny by default’ and ‘allow by default’ for zero‑trust or open models • Point‑and‑click drawer in Surrealist -

Use the LIVE SELECT statement in SurrealQL to activate real-time data selection from a table. Executing a query triggers an ongoing session that captures any subsequent changes to the data in real-time. Learn more in our docs. 👉 sdb.li/447gw8L

GraphRAG leverages knowledge graphs to give LLMs richer context, producing more accurate and coherent answers. Learn how to build a GenAI chatbot with LangChain, ollama, and SurrealDB, step by step. 👉 sdb.li/4kAgJ9D

Most RAG tutorials start with a framework like LangChain, but what if you could build leaner, faster apps using just Python? Join us on July 9 to learn how to build RAG apps using Python, SurrealDB, and Streamlit. 👉 sdb.li/3GdTowd

SurrealDB + LangChain = the easiest way to build your LLM apps. Our official integration combines our graph and vectors so you can build smarter agents with persistent memory. Learn about the integration and start building. 👉 sdb.li/4kh2eas

A schema defines your database’s structure and rules. Early definition ensures consistent data storage, linking, and behaviour throughout your project. Some tips from our own Dave MacLeod show you how to design one that works for you. 👉 sdb.li/4ly1PkX

props to these guys, they are building innovative stuff at a mad pace (haven't used it, but reading the tips is an eye-opener to how much they've built and the innovation going on there)

There's no easier way to get started with LangChain than with SurrealDB. In under 1 minute, you can store documents together with ollama generated embeddings, and do a similarity search to retrieve them. Learn more. 👉 sdb.li/4nvg0c9

Shout out to community member, Albert Marashi, for the Zed extension for SurrealQL, our database query language. It adds SurrealQL syntax highlighting right inside Zed. Learn more and download. 👉 sdb.li/44DkHZ8

Want to simplify your AI pipelines? Our guide will enable you to scrap ETL and build pipelines that blend multi-model data and AI logic directly inside one ACID database. Learn more. 👉 sdb.li/4eI9FGr

Surreal Cloud’s network capabilities make it possible to send and receive HTTP requests natively in-database securely and conveniently. AlexanderFridriksson shows you how to enable this. Spin up an instance and try it. 👉 sdb.li/44jcPeT

Engineers at NVIDIA, Tencent, and Samsung already trust SurrealDB. Now it’s your turn. One powerful database unifies vectors, graphs, docs, and time-series, scaling from edge to petabyte clusters so your AI apps ship faster. 🔗 sdb.li/4lw6sMq

Sunday Spotlight: our official LangChain integration is live! 🦜🔗 • SurrealDBVectorStore • SurrealDBGraph and SurrealDBGraphQAChain (experimental) pip install langchain-surrealdb and start building smarter RAG. surrealdb.com/docs/integrati…

Want to trigger an event when specific data changes in our multi-model database? Use SurrealQL’s DEFINE EVENT statement to define custom logic on record creation. Learn more in our docs. 👉 sdb.li/400thQ8

Databases are at the core of traditional software apps. With the rise of Agentic AI, the role of databases must evolve to serve as the “Agentic Memory” at the heart of reliable agentic systems. Tobie Morgan Hitchcock explains. 👉 sdb.li/45XAYua

Did you know you can store Mistral AI embeddings as SurrealDB vectors via the Rust SDK for semantic search? Our own Dave MacLeod shows you how in a step by step guide. 👉 sdb.li/4eI3dPM

Want to build a chatbot that understands context? 🤖 We break it down with a minimal LangChain example. Learn how to use vector stores and graphs to generate intelligent, natural language answers. 👉 sdb.li/3Ij5Rzi