Memgraph is a high-performance, in-memory graph database that powers real-time AI context and graph analytics at scale.
London, England
Joined May 2016
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Your pipeline created 12,000 relationships. That proves it was busy, not that they’re right.
At a million documents in your #KnowledgeGraph, how do you find the one bad edge?
Sara Tilly explores this with @tonilastre here 👉 memgraph.com/blog/can-you-tr…
#Memgraph
Your application has 12 workers. But with a single-writer model per graph, only one write may execute while the other 11 wait.
More workers cannot make those writes run concurrently.
Why this matters for real-time graph workloads 👉 memgraph.com/blog/write-seri…
#Memgraph
Beyond #GraphDatabase features, remember to ask:
▪️Where does the active topology live?
▪️How are concurrent writes handled?
▪️Which graph state does #analytics use?
The answers set the latency floor, #throughput ceiling & freshness boundary 👉 memgraph.com/blog/why-retrof…
#Memgraph
Fraud rarely announces itself in a single document.
The signal may sit several hops away:
claimant → address → prior claim → payment account
See where #VectorRAG falls short and what graph traversal adds 👉 memgraph.com/blog/vector-rag…
#GraphRAG #FraudDetection #Memgraph
Your #GraphRAG system found the right context. But can it explain why a decision was made six months later?
See how GraphLogic stores evidence, assumptions, risks and actions in #Memgraph.
Full walkthrough 👉 memgraph.com/webinars/how-to…
Key highlights 👉 memgraph.com/blog/graphlogic…
#KYC documents are messy. Handwriting, scanned PDFs, half-filled forms & facts spread across filings.
In this Community Call, @QuarkLabs showed how to turn them into a queryable #KnowledgeGraph in #Memgraph.
Watch 👉 memgraph.com/webinars/from-m…
Recap 👉 memgraph.com/blog/kyc-knowle…
A transaction can look normal and still sit inside a suspicious network.
#FraudRings hide across accounts, devices, addresses and intermediaries. That’s why row-by-row #FraudDetection misses the bigger picture.
Read more 👉 memgraph.com/blog/fraud-is-a…
#GraphAnalytics #Memgraph
How do you stop #AI agents from inventing facts?
Give them structure.
Schema-first #GraphRAG grounds #LLMs in real entities, valid relationships & defined properties.
Full walkthrough 👉 memgraph.com/webinars/killin…
Key highlights 👉 memgraph.com/blog/reduce-llm…
#Memgraph #GraphDatabase
Fraud rings do not operate in silos. #Fraud detection systems often do.
A login anomaly, suspicious payment and #AML signal may look minor alone, but reveal a network when connected.
See why multi-hop analysis matters 👉 memgraph.com/blog/fraud-dete…
#Memgraph
$485.6 billion was lost globally to fraud scams and bank fraud.
This is not because of lack of data but because financial teams struggle to connect what they already know before the risk disappears into another system.
Read why 🔗 memgraph.com/blog/fraud-team…
#Memgraph
Another dashboard will not solve fragmented research data.
Drug discovery teams need to query relationships across sources without manually stitching the context together first.
Read how #KnowledgeGraphs help 👉 memgraph.com/blog/researcher…
#Memgraph #DrugDiscovery #BiotechResearch
#PostgreSQL 19 vs #Memgraph. Same dataset. Same #traversal task.
Very different story as the number of hops increased.
#Benchmarking by Josip Mrđen.
See the results 👉 memgraph.com/blog/postgresql…
The hard part of multi-tenant graph workloads is keeping boundaries without losing access.
Memgraph 3.11 is built around that production reality by making multi-tenant graph workloads more practical to run.
Full breakdown 👉 memgraph.com/blog/memgraph-3…
Memgraph is featured in a new @Arm Learning Path install guide.
Learn how to install Memgraph on Arm with Docker or native Linux packages, run Cypher queries with mgconsole, and optionally add MAGE for graph algorithms.
learn.arm.com/install-guides…
Is data copying dead? In the latest GraphGeeks Podcast episode, @amyhodler talks with our Co-founder and CTO, @mbudiselicbuda , about Memgraph Zero and MemGQL.
Watch the full podcast here: youtu.be/H3OwyAj7zsk?si=M4o8…
Futurum Group covered Memgraph Zero and MemGQL, our federated GQL query engine for querying heterogeneous enterprise data sources as a unified graph, without the burden of physical data movement.
futurumgroup.com/insights/me…
Memgraph retweeted
Introducing @memgraphdb Zero and our first associated product: MemGQL -> memgraph.com/docs/memgraph-z…
Query (you or your agent) all of your data source as a graph. Live. No ETL. No pipelines. No stale data.
One GQL query. Every backend. Zero copies.
Join our Community Call to learn more -> crowdcast.io/c/introducing-m…
#graphs #GQL #agents
Want graph intelligence without moving all your data first? #Memgraph Zero introduces MemGQL, a federated #GQL engine for querying live data across graph, relational, OLAP, and lakehouse systems.
Lean more 👉 memgraph.com/blog/introducin…
With local graph search you can find the right node, expand the graph, filter the noise, return the context that matters.
Why Atomic GraphRAG helps:
✓ less code to review
✓ smaller context
✓ better accuracy
Full walkthrough 👉 memgraph.com/blog/local-grap…
#GraphRAG #Memgraph
If your #GraphRAG pipeline runs embeddings for a COUNT query…
You’re doing it wrong.
#Text2Cypher is what you need for direct, analytical questions.
See how → memgraph.com/blog/text-to-cy…
#AIEngineering #Memgraph
