FalkorDB
neo4j
Memgraph
TigerGraph DB
Amazon Neptune
ArangoDB
Ontotext Graph DB
JanusGraph
Nuxt.js
Next.js
Tailwind CSS
Vue.js
React
Svelte
Bootstrap
Vercel
FalkorDB delivers an accurate, multi-tenant RAG solution powered by a low-latency, scalable graph database technology. Our solution is purpose-built for development teams working with complex, interconnected data—whether structured or unstructured—in real-time or interactive user environments.
FalkorDB Nuxt.jsFalkorDB'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, Nuxt.js seems to be a lot more popular than FalkorDB. While we know about 149 links to Nuxt.js, we've tracked only 3 mentions of FalkorDB. 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.
Use a low-latency graph database: Integrate FalkorDB for its sparse matrix representation and optimized linear algebra-based traversals. Queries execute in milliseconds—critical for real-time AI interactions. - Source: dev.to / about 2 months ago
In vector databases, data is stored as high-dimensional vector embeddings, which are numerical representations generated by machine learning models to capture the features of data. When querying, the input is converted into a vector embedding, and similarity searches are performed between the query vector and stored embeddings using distance metrics like cosine similarity or Euclidean distance to retrieve the most... - Source: dev.to / about 2 months ago
For AI architects, integrating graph-native storage with LLMs isn’t optional—it’s imperative for building systems capable of robust, multi-hop reasoning at scale. - Source: dev.to / 3 months ago
In recent years, projects like Vercel's NextJS and Gatsby have garnered acclaim and higher and higher usage numbers. Not only that, but their core concepts of Server Side Rendering (SSR) and Static Site Generation (SSG) have been seen in other projects and frameworks such as Angular Universal, ScullyIO, and NuxtJS. Why is that? What is SSR and SSG? How can I use these concepts in my applications? - Source: dev.to / about 1 year ago
One reason to opt for server side rendering is improved SEO, so if this is especially import for your project you could have a look at for instance https://remix.run/ or https://nextjs.org/ for react or https://nuxtjs.org/ if you use Vue. Source: almost 2 years ago
Well nuxtjs.org work smooth on ios 12, maybe you didn't understand what I'm talking about. Source: almost 2 years ago
E.g. Most nuxtjs.org documentation is Nuxt 2 and therefore Vue 2, while nuxt.com documentation is always Nuxt 3 and therefore Vue 3. Source: almost 2 years ago
For detailed explanation on how things work, check out the documentation. - Source: dev.to / almost 2 years ago
neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.
Next.js - A small framework for server-rendered universal JavaScript apps
Memgraph - Memgraph is an open source graph database built for real-time streaming and compatible with Neo4j. Whether you're a developer or a data scientist with interconnected data, Memgraph will get you the immediate actionable insights fast.
Tailwind CSS - A utility-first CSS framework for rapidly building custom user interfaces.
TigerGraph DB - Application and Data, Data Stores, and Graph Database as a Service
Vue.js - Reactive Components for Modern Web Interfaces