A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (KG-RAG).
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FalkorDB's answer:
C, Rust, Next.js
FalkorDB's answer:
An ultra-low latency Graph Database
FalkorDB's answer:
x100 faster than the leading solutions
FalkorDB's answer:
Developers, Architects, Data scientists, CTOs
FalkorDB's answer:
An ultra-low latency Graph Database that perfects the Knowledge Graph for KG-RAG. Effectively overcoming the existing limitations of RAG for Large Language Models (LLM).
FalkorDB is the first queryable Property Graph database to use sparse matrices to represent the adjacency matrix in graphs and linear algebra to query the graph.
Based on our record, Blazegraph seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Triple, mainly represented by RDF with SPARQL as its query language. In TripleStore, data is represented as Subject-Predicate-Object. The database for this kind of data is usually called TripleStore. An example of TripleStore is BlazeGraph. - Source: dev.to / over 2 years ago
I think the best open-source graphdb, also used for Amazon Neptune, is blazegraph [1] For true data interoperability, as opposed to the silo data models required for property graph databases, the RDF w3c standard with SPARQL [2] is the industry standard. The new global API made possible with the Solid project [3] by Tim Berners-lee uses RDF [1] https://blazegraph.com/. - Source: Hacker News / almost 3 years ago
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