SurrealDB

We're live on Product Hunt with Spectron, the memory and knowledge layer for AI agents built on SurrealDB. Come share your thoughts and drop your questions in the thread; we'll be there all day. 👉 sdb.li/4fnDYEK

Need tools, libraries, and integrations built around our multi-model database? SurrealDB Labs brings together official and community-built resources to help you build faster. Dive in. 👉 sdb.li/4wzXPqb

What if you could watch a graph as it grows and fire off an action the instant a meaningful pattern completes? Community member Cyril Scetbon explores exactly that: concept, configuration, implementation, and where things could go from there. 👉 sdb.li/3Rz4zVX

Change one paragraph, rebuild the whole index. That is how a lot of knowledge pipelines still work, and it is why agents end up reasoning over stale context. Chatting tomorrow with @LinghuaJ from @cocoindex_io and @martinschaer: incremental ingestion into @SurrealDB. Documents, entity graph and vectors in one store, so vector search and graph traversal run in a single query. youtube.com/live/4A-6suVZU…

Building a living knowledge layer for your agents - On Thursday 30 July, @tobiemh sits down with @LinghuaJ from @cocoindex_io and @martinschaer from @SurrealDB to walk through how a living knowledge layer for AI agents actually comes together. CocoIndex ingests your documents incrementally - recomputing only what changed - straight into SurrealDB, where the documents, an entity graph and the vectors all live in one store. Code-first and conversational: a walkthrough of a real, working pipeline and live queries. We'll cover: - Why stale, disconnected context is what really hurts agent accuracy - How incremental ingestion keeps your knowledge layer fresh, with no full rebuilds - How a folder of documents becomes chunks, embeddings and an entity graph in SurrealDB - Running vector search and graph traversal together in a single query - The edit-one-document moment: seeing only the delta re-embed Come and Join us!

Aeon’s Surreal Renaissance brings learning about SurrealDB to life through a fun, interactive story with you as the main character. Step into the experience and explore the capabilities of our multi-model database. 👉 sdb.li/4oZhdZD

.@polyaivoice needed a quick and open way for customers to bring their own knowledge bases straight into its customer service AI agents. The fix? Integrating SurrealDB as an external RAG provider into its Agent Studio platform. Learn more. 👉 sdb.li/3P1qFyM

Did you know Spectron lets you upload a document, then make a second call to extract key information from it? The documents.upload() method attaches scope and labels, so chat() can find and answer from the right document. Learn more in our docs. 👉 sdb.li/4vL979S

Getting started with our multi-model database? Build your understanding of the key concepts with a fun, scenic tour set in the fictional city of Riverdale. Start your tour now. 👉 sdb.li/3NIMxhu

YouTube podcast episodes hold hours of insight you can't search. @cocoindex_io changes that, extracting statements and entities via LLM, resolving duplicates, and storing them in SurrealDB as a queryable knowledge graph. Check out the GitHub repo. 👉 github.com/cocoindex-io/c…

Activity-tracking and social-fitness apps depend on their social graph: feeds of who you follow, growth from "athletes you might know", kudos, comments, and leaderboards. @martinschaer shows how to model this data as a graph in SurrealDB. 👉 sdb.li/3TIj8ac

An agent is only as good as the context it sees. Need to keep it fresh and richly connected? @cocoindex_io's SurrealDB connector puts document store, knowledge graph, and vector index in one instance, so all three stay in sync. Learn more. 👉 sdb.li/44EmLAk

Did you know Spectron's remember() and recall() methods let you track facts as they change over time to avoid spoilers? Using recall() with the as_of date parameter, you get exactly what was known at any past point. Learn more in our docs. 👉 sdb.li/4gxVNl6

How do you keep your agent’s knowledge layer fresh, without full rebuilds? On 30 July, @tobiemh, @LinghuaJ (@cocoindex_io), and @martinschaer (SurrealDB) show you how. Check out the full details. 👉 youtube.com/live/4A-6suVZU…

Almost every SaaS app needs the same plumbing: orgs, roles, permissions you write once, get subtly wrong, and patch for years. SurrealKit ships Organizations and Teams as tested SurrealQL you opt into. Learn more from @at_chiru. 👉 sdb.li/4f89STT

Struggling with a fragmented backend architecture? Learn why @aspirecomps1 migrated to our multi-model database, and how it helped cut complexity and speed up development. 👉 sdb.li/4vFxqqm

Did you know Spectron lets you store context with one line of code? The remember_many() method extracts facts automatically and assigns them to the right user. Learn more in our docs. 👉 sdb.li/4gxVNl6

Ready to get hands-on with SurrealDB? This tutorial gives you the practical skills to build a movie database while mastering our multi-model database and SurrealQL. Start building today. 👉 sdb.li/3Ok2FX3

RAG can retrieve information, but it can't determine authority, precedence, or approvals. @tobiemh explains in @VerdictUK why context, not bigger prompts, is what makes agentic AI reliable. Read the full piece. 👉 sdb.li/44qX71U

"Buffalo buffalo Buffalo buffalo buffalo buffalo Buffalo buffalo" is technically valid English, but it's confusing. Our own @mithridates uses SurrealQL and Surrealist's graph visualisation to show exactly how it works. 👉 sdb.li/4h3ubo1