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).
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, Facebook AR Studio seems to be more popular. It has been mentiond 4 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.
With the assistance of its parent company Meta, Instagram has just recently launched the beta of its AR ads through its Spark AR Platforms. This interactive ad layout allows users to interact with their ads whether it's trying on clothes or testing out furniture for a new home. Meta insists that these engaging ads will allow brands to “prepare for the metaverse,” as many are anticipating and developing technology... Source: over 1 year ago
I remember seeing this Corridor Crew video and they used something called Spark AR to do real-time face filters. Source: about 2 years ago
Like u/Nexen4 says, create the character in a modelling package, then import that into SparkAR to make a filter. Source: over 2 years ago
I haven't really used any. Though a friend of mine was playing with Spark AR Studio from Facebook. Source: over 2 years ago
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