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'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, SQLite should be more popular than FalkorDB. It has been mentiond 18 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.
Yes. A Lightroom catalog file is, after all, just a SQLite database. (Srsly, make a copy of your catalog file, rename it whatever.sqlite and use your favorite SQLite GUI to rip it open and look at the tables and fields). It's just storing the pathame to the RAW file for that file's record in the database. Source: almost 2 years ago
I use visidata with a playback script I recorded to open the sheet to a specific Excel tab, add a column, save the sheet as a csv file. Then I have a sqlite script that takes the csv file and puts it in a database, partitioned by monthYear. Source: about 2 years ago
Use the most-used database in the world: https://sqlite.org/index.html. Source: over 2 years ago
With this in mind, I wrote a few versions of this post, but I hated them all. Then I realized that jodliterate PDF documents mostly do what I want. So, instead of rewriting MirrorXref.pdf, I will make a few comments about jodliterate group documents in general. If you're interested in using SQLite with J, download the self-contained GitHub files MirrorXref.ijs and MirrorXref.pdf and have a look. - Source: dev.to / over 2 years ago
SQLite, by many estimates, is the most widely deployed SQL database system on Earth. It's everywhere. It's in your phone, your laptop, your cameras, your car, your cloud, and your breakfast cereal. SQLite's global triumph is a gratifying testament to the virtues of technical excellence and the philosophy of "less is more.". - Source: dev.to / over 2 years ago
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
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