Kùzu
@kuzudb
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Kùzu is an embeddable property graph database management system (GDBMS) built for query speed and scalability. Built by Kùzu Inc.
Waterloo, ON
Joined November 2022
Don't wanna be here?
Send us removal request.
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In this next video of our graph databases fundamentals,
@semihsalihoglu
is back with a comprehensive account of the history of graph databases. Another part follows this, coming soon!
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📢📢We are happy to announce the release of Kùzu () v0.0.9! As usual, the Kùzu team was busy implementing many new features this time with a particular focus on performance 🚀🚀:
Direct scan of tables from raw files, new BEGIN/COMMIT/ROLLBACK Cypher
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10
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We had to see how easy it was to build things with LLMs as well 😀!
📣Check out this experimental integration of
@kuzudb
with
@LangChainAI
🤝🎉! You can ask your questions in plain English, and KuzuDB-LangChain integration converts it to a Cypher query and the results back into
0
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📣📣
@kuzudb
now integrates with
@llama_index
as a Graph Store 🤝! If you are extracting knowledge graphs/triples from using
@llama_index
's Knowledge Graph Index, you can now directly store them in Kùzu for further processing, querying, visualizing and more!
Check out the
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Our next video is out! This is the first of a 2-part video in which
@semihsalihoglu
explains Resource Description Framework (RDF), a popular data model in graph DBMSs. If you're curious about graphs but are intimidated by the terminology used, enjoy!
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A common question during data modeling is: "When do I need a graph database?"
Our earlier series on graph database fundamentals answered this question conceptually. In our latest video,
@tech_optimist
provides a *practical* explanation with code examples.
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📢 Meet KùzuExplorer! Kùzu gets its own browser-based frontend to interactively visualize your database schemas and query results.
Deploy as a Docker image with a single shell command and get started!👇
Blog:
Docs:
Github :
0
6
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Our CEO & co-founder
@semihsalihoglu
recently spoke to
@thegeeknarrator
on all things
@kuzudb
. Listen to it for a deep dive into the history of Kùzu and graph databases, the benefits of graph data modeling, and the core features that make Kùzu different from other systems. 👇🏽
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Yet another Saturday and Yet another Database episode 😎
This time it is a highly scalable, extremely fast and easy to use embeddable graph database called Kùzu DB.
@kuzudb
.
I talk to
@semihsalihoglu
about Graph Databases, how they compare with other databases and all about
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We just released Part 2 of Prof. Semih Salihoğlu's video series on the history of databases with graph-based models! This video covers 3 classes of systems: (i) document stores (ii) RDF systems, and (iii) property graph systems, such as
@kuzudb
and Neo4j.
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Byte 13:
One of the goals of
@kuzudb
is to make graphs accessible to a wider audience. To help with this, we've just released a new feature: An "import data" panel in our browser-based UI, Kùzu Explorer. Read on, to learn more!
🧵👇🏽
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📣We're excited to support in-memory graphs in our new release of
@kuzudb
! When you need ephemerality rather than persistence, and you're looking to run a few queries, a few times, you can expect good performance benefits from using in-memory mode.
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Here's a sneak peak of our
#FOSDEM
2024 talk on
@kuzudb
's vision and goals for graph data science by
@tech_optimist
.
In a nutshell, our vision at Kùzu, Inc is to build a
#graph
database that represents the state-of-the-art of how graphs should be stored, indexed and queried.
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A lot of our users have been asking about
#golang
bindings for
@kuzudb
. It's now being actively worked on - watch out for our announcement on the Go API in the next release of Kùzu! We want more
#golang
users to know about Kùzu and graph databases, so please spread the word!
I've been looking for an embedded graph database for years! Just stumbled across
@kuzudb
and was amazed by the fact that I haven't seen it before, because I was running this google search not so long ago and haven't seen it. Shame they don't have Go bindings yet.
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Thanks for writing!
@kuzudb
is indeed an embedded DB with a novel & fast query processor. We're not designed for edge computing, but rather for high scalability on a single machine (think billions of nodes). We support Property Graph + RDF data models & interop with RDBMS tools!
My co-founder
@geclos
just wrote this piece on the best embedded databases out there.
Embedded databases are simpler to set up and manage, need less resources, and deliver superior performance. These are the ones we talk about in the article:
SQLite
@duckdb
@RocksDB
@trychroma
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Part 2 of our
#RDF
video series is out - in this video,
@semihsalihoglu
discusses why RDF and the standards around it form a knowledge representation and reasoning (KRR) system, and how one can do automatic reasoning with these standards.
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Let's kick off a new week with a new video in our "Getting started with
@kuzudb
" series: This one is a deep dive into our web-based UI, Kùzu Explorer.
Watch
@tech_optimist
uncover in depth how to import data, query and visualize it via the UI. 👇🏽
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1.0K ⭐️. Onward and beyond! There's a lot more to be done, and we're looking forward to it!
Thank you to all our users! 🙏
#starhistory
#GitHub
#OpenSource
via
@StarHistoryHQ
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We are at 987 ⭐️, just a short distance from that first 1,000! To all our users and early adopters, thank you! 🙏
See our GitHub star history below:
And do give Kùzu a try:
#starhistory
#GitHub
#OpenSource
via
@StarHistoryHQ
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📢📢We are happy to announce the release of Kùzu v0.1.0, which comes with many performance-oriented and user-facing features:
- Compressed relationship tables & additional string dictionary compression algorithm
- Direct scan of Pandas DataFrames
- Exporting query results to
0
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12
📢📢We are happy to announce the release of Kùzu () v0.0.7! The release comes with many new features taking Kùzu closer to becoming Cypher-compliant 🚀🚀:
Macro and UDF Capabilities, Implementation of Cypher's Merge clause, Set/Delete of multi-label node
0
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We just released a detailed blog post describing why the Resource Description Framework (RDF) data model is often misunderstood or under-utilized in practice, and highlight some of its virtues in our increasingly AI-dominated world. Loads to unpack!
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Over the next few weeks, we'll be making tutorials on how to get started using
@kuzudb
for your graph modeling. tasks. Join
@tech_optimist
in this first video, on how to use COPY FROM, a powerful method to rapidly ingest large amounts of data into Kùzu.
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Our latest release of Kùzu includes a complete rewrite of our storage engine with compression. Over the coming days, we will go over some of the key ideas.
The first of these is called "Node Groups" 🧵 👇
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Attn: If you happen to be in the Paris area, please sign up for the upcoming
@PyData
Paris meetup and hear
@alonsosilva
talk about RAG, graphs and
@kuzudb
. Should be an interesting discussion both during, and afterward! 👇🏽
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Exciting news! On 11 July,
@kuzudb
will be hosting an in-person workshop as part of this year's excellent TMLS agenda. If you're interested in knowledge graphs, from a scalability, ease-of-use, and interoperability perspective, sign up for this workshop and spread the word! 🇨🇦
Excited for TMLS 2024! 🌟 Join
@tech_optimist
from
@kuzudb
as he introduces 'Kùzu - A fast, scalable graph database for analytical workloads'. Explore transforming relational data into a graph, running Cypher queries, and more!
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Happy new years to everyone! 🥳🥳
Here is a SIGMOD Record column by
@semihsalihoglu
, written a while ago to articulate Kùzu's vision as a system and share his thoughts on good PhD theses to write on graph databases in the era of modern AI:
Apparently it
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📢📢 Here's the second post on RAG by Semih Salihoğlu, now covering RAG using unstructured data (RAG-U) focusing on the envisioned role of knowledge graphs:
The post covers the design spectrum of RAG-U along two dimensions:
1) What additional data to put
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Our next blog post is out! In this post, we focus on the analysis and data science aspects of graph thinking on a client/merchant transaction network.
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📢 Exciting news! 🚀 We are happy to release Kùzu () v0.0.5! 🌟 The release comes with: Rust and Java APIs, named paths, all shortest paths, filters on recursive patterns, Call clause, BLOB data type, and more 🎉 Check out our blog post for all the
0
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🎉 Happy new year everyone!
Here's a post I (
@semihsalihoglu
) am starting on the Kùzu blog on the role graphs play in LLM applications and some of the work in text-to-SQL using LLMs. All of this is based on some reading I did over the holiday season. These blogs have two goals:
0
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We're very happy to announce the release v0.4.0 of
@kuzudb
! This one is a feature packed release with a host of features and improvements - over the coming days, we'll highlight them in more detail.
For now, enjoy reading our release blog post here 👇🏽
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📢📢 We will be releasing Kùzu v0.1.0 early next week.
To go over our changes since v0.0.7 and discuss our roadmap for the rest of the year, we are going to hold a user meeting on Nov 21st (Tue) or Nov 22nd (Wed). If you are interested in Kùzu and joining our user meeting,
0
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Byte
#10
:
In this byte, we'll go over building a simple GraphQAChain using
@LangChainAI
&
@kuzudb
to answer questions via an LLM on top of a graph. Consider this simple dataset of the Godfather movies:
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For Python users: Here's how amazing it feels to install kuzu via
@astral_sh
's new tool uv (it manages virtual environments too).
pip install uv
uv venv
uv pip install kuzu
Under 1 ms to resolve and install your very on local embedded graph DB!
Announcing uv: an extremely fast Python package installer and resolver, written in Rust.
uv is designed as a drop-in alternative to pip, pip-tools, and virtualenv.
With a warm cache, uv installs are near-instant. Here, it's > 75x faster than pip and pip-tools.
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Byte
#6
The beauty of open source software is that sometimes, great integrations can come from the community. Very soon, we will provide zero-copy access (via Arrow) to
@DataPolars
(Polars) DataFrames. If you use Polars in your workflows, read on! 🧵
1/
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Happy Friday! It's time for another hands-on tutorial with
@tech_optimist
on the 3 ways you can interact with
@kuzudb
. We show how to use the Python and Rust client APIs, the command line interface (CLI), and Kùzu Explorer, a visual, web-based UI.
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If you're interested in RAG on unstructured data but are intimidated because of the flurry of activity, DON't BE - the area is easier to digest than it may look!
#KnowledgeGraphs
can lead to interesting directions: KG construction, linking text chunks for retrieval and more.
RAG using unstructured data, the role of
#KnowledgeGraphs
&
#GraphDB
Overview & future work by
@semihsalihoglu
Design decisions when preparing a RAG using unstructured data:
What additional data to put in prompts
How to store and fetch additional data
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Our FOSDEM 2024 lightning talk's video recording is up live at the link below. Have a look, and reach out to us with any comments or questions!
(1/2)
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📣 In the coming weeks, we will be releasing a series of videos (prepared by
@semihsalihoglu
) that introduce key concepts of
#graph
databases and their feature set as applies to
@kuzudb
.
The first video in this series is out! 👇🏽🧵
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Kùzu v0.0.4 is released & comes with:
(i) Node.js, C bindings, Windows support;
(ii) Shortest path & undirected relationship queries;
(iii) Struct and SERIAL data types
(iv) Improvements to data loading speed!
Release post:
#graphdatabase
#kuzudb
#kuzu
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Attn:
#golang
users! Kùzu's officially supported Go API is now out! Check out the installation steps here:
For now, it's Linux and macOS only, but we are actively looking at adding Windows support.
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At yesterday's lightning talk
@KGConference
in
#NYC
,
@tech_optimist
presented some of
@kuzudb
's standout features. 5 glorious minutes just flew by! Check out our recent version's release notes on our GitHub repo and give us a ⭐️
pip install kuzu
0
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We just published another video by
@semihsalihoglu
that addresses the burning question of "When do you need a graph database?", and how GDBMSs are different from RDBMSs. If you're coming from the world of RDBMSs, we think you'll find some answers here :)
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📽️📽️Here is our 2nd user meeting's video:
Thanks to Xiyang and
@guodongjin_
for the presentation of latest features and our roadmap and thanks to all users for joining and giving feedback!
Enjoy 😀!
#kuzudb
#graphdatabase
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We just released some preloaded example databases to make it easier for users to get comfortable playing with RDFGraphs in Kùzu!
Popular RDF datasets like DBPedia, EWordnet, Geonames and Yago knowledge graphs are available to experiment with 👇🏽
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Secure your tickets to
@theaiconference
now! We will be there 🤝🏽
Meet Prashanth Rao, an accomplished AI engineer at
@kuzudb
, an innovative embedded graph database startup in Ontario, Canada.
With dual master's degrees in Aerospace Engineering from the University of Michigan and Computer Science from Simon Fraser University,
@tech_optimist
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📽️Here is the video of our user meeting from yesterday:
Thanks to Xiyang and Chang for the presentation and thanks to all users for joining and giving feedback! Enjoy 📽️
#kuzu
#kuzudb
#graphdatabase
0
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In this post we co-wrote with
@bigdata
in his newsletter, we provide an overview of the rapidly evolving space of GraphRAG, including blueprints, hurdles and guidelines.
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📢📢Join Kùzu engineer Xiyang Feng explain why and when developers need graph database management systems and an overview of Kùzu tonight in Toronto Modern Data Stack Meetup:
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Join
@tech_optimist
and many like-minded professionals in New York City on 8 May, for the Knowledge Graph Conference 2024! We will be presenting on modern graph databases and knowledge graph management using
@kuzudb
🚀. See you there!
#KGC2024
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To kick off our development in 2024, we're starting a series of short posts/threads that describe key concepts introduced in recent versions of
@kuzudb
, which we're calling "Kùzu bytes".
Here's byte
#1
, the first of many more to come!
Our latest release of Kùzu includes a complete rewrite of our storage engine with compression. Over the coming days, we will go over some of the key ideas.
The first of these is called "Node Groups" 🧵 👇
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Here's our recording for our fourth user group meeting. We discuss our new RDFGraphs support, extension framework, and our upcoming roadmap for the next releases of
@kuzudb
. Have a watch and reach out to us with any questions/comments!
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Watch our first user meeting video on
@kuzudb
's new Youtube channel 😀:
Here's the video:
Enjoy!
#graphdatabase
#kuzudb
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Attention all
#graph
enthusiasts: Join our next user group meeting on 27 February, 2024, where we'll discuss some of our new features such as RDFGraphs, our storage layer features and more.
More details on Discord:
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Using the Kùzu plugin for RDFLib with these libraries, you can build more complex pipelines than the one shown here. Check out the examples in
@derwen_ai
's kglab repo to see a variety of other RDFLib plugins you get access to in Python.
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📢 We will be hosting our next user meeting on Wednesday Nov 22nd at 11:00am-12:00pm EST.
The Zoom link is in the announcement channel of our Slack:
Hope to see some of you there! 📢
📢📢 We will be releasing Kùzu v0.1.0 early next week.
To go over our changes since v0.0.7 and discuss our roadmap for the rest of the year, we are going to hold a user meeting on Nov 21st (Tue) or Nov 22nd (Wed). If you are interested in Kùzu and joining our user meeting,
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We have a long way to go but great to see
@kuzudb
highlighted by
@StarHistoryHQ
! 🥳 (didn't know 650 stars was a milestone).
650 ⭐️ Kùzu is a graph database management system (GDBMS).
@kuzudb
🍊
#starhistory
#GitHub
#OpenSource
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It's a busy week for Kùzu Inc. in Toronto! Join us for the first of three meetups we'll be at:
@MindstoneHQ
's AI Meetup in Toronto on 9 July @ 6 PM, MaRS Discovery District, 101 College St.
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pip install kuzu to get started.
And please subscribe to our YouTube channel and stay tuned for more in this playlist!
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It's yet another day and it's time for yet another excellent podcast! Recently,
@semihsalihoglu
spoke with
@bigdata
where he discusses knowledge graphs, LLMs,
@kuzudb
, and more 👇🏽
🆕💡🎧
@semihsalihoglu
of KuzuDB on
- LLMs for text-to-SQL / text-to-Cypher systems
- LLMs for automatic knowledge graph construction
- do knowledge graphs boost retrieval augmented generation
#LLM
#GenAI
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📢We will be holding our 2nd user meeting this Wednesday (August 23rd) at 1-2pm EDT (so Waterloo time). If you would like to join please join our Slack workspace to obtain the Zoom link and see the announcements channel:
See you all there!📢
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New features to enhance functionality:
- Remote Kùzu databases
- Python UDFs
- List lambda functions
- Scan and copy directly from Polars and Pandas DataFrames
- Scan arrow-backed Pandas DataFrames
- Decimal data type
And more! ...
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An excellent blog post on
@kuzudb
's internals and positioning as a graph database from one of our users
@tech_optimist
! 🚀
Aside from great performance demonstrations, we hope it convinces people about the serious engineering that is going into the system and that
@kuzudb
at
One of the more exciting developments in graph DBs in recent times is
@kuzudb
, a modern, lightweight, blazing fast 🔥 graph database written in C++ that’s emerging as a powerful option for analytically querying very large graphs. Thread 🧵👇🏼
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For users of
@DataPolars
, this release of
@kuzudb
comes with significant enhancements to usability: You can now directly scan and copy the contents of Polars DataFrames to Kùzu. All with an improved, easier to use syntax - no need to use a subquery - you can COPY directly!
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The third post by
@semihsalihoglu
to cover our CIDR paper! In case you missed it, the first post is here () on Kùzu’s goals and vision as a system , and the second post is on factorization (). Enjoy reading!
Why Graph DBMSs Need New Join Algorithms: Story of Worst-case Optimal Joins:
I wrote a post on "worst-case optimal" join algorithms: a core algorithm in Kùzu & a topic that has kept me busy for long.
Tldr; 👇
#kuzudb
#graphdatabase
#graphdb
#gdbms
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📢 Listen to
@semihsalihoglu
discuss
@kuzudb
and the state of graph databases and analytics in the The Data Exchange Podcast:
Youtube version is here:
Enjoy!📢
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Recent releases have also improved the default color palette and drawing styles. We actively welcome user feedback, so feel free to docker pull kuzudb/explorer and begin visually exploring your graphs in
@kuzudb
!
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If you're in the Bay Area, join
@tech_optimist
at GitHub HQ for the
@aicampai
meetup on June 4th!
In our talk, we'll be exploring some of the ways in which knowledge graphs are used in conjunction with LLMs and graph DBs to power RAG applications.
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You can now launch a Docker container that wraps a Kùzu server and some convenience endpoints to query it. To access a local Kùzu database, simply mount its path to the container's /database directory as follows:
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It's a new year, and it's time for a fresh look to our online community! Like many others, we have settled upon
#discord
to build our growing community of knowledge graph enthusiasts and graph database users.
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For the LDBC benchmark SF100, we now see a 25% reduction in our Kùzu database’s size, going down from 125 GB to 94 GB!
In upcoming releases, we hope to further improve the storage engine’s compression capabilities.
Join our Discord to learn more!
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📢 Don't forget to join our user meeting tomorrow! We'll discuss latest features in Kùzu and the upcoming major features we are working on!
Date/Time: Nov 22nd, 11am-12pm EST.
Zoom: See the announcement channel in our Slack:
See you all there! 📢
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Future versions of Kùzu will support even more convenience features, such as the ability to natively scan PostgreSQL tables, as well as native support for Arrow tables.
Give it a try on your own data and let us know how you use Kùzu!
pip install kuzu
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@tb_tomaz
@llama_index
@tb_tomaz
: We support labeled property graphs with a schema, i.e., dbs consist of node & rel records with predefined properties. But we are extending the system with better support for RDF: (). You can see our roadmaps in our repo:
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As many know, RDF has its roots in knowledge representation and reasoning (KRR), a field of AI known as "good-old-fashioned" symbolic AI. The blog discusses several directions to improve LLMs with RDF-based or more broadly KRR-based technology. Enjoy!
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To summarize, you can now perform similarity search in
@kuzudb
using cosine similarity, dot product, inner product and cross product. See our docs for the syntax used, and reach out to us with any questions on the approach shown here!
pip install kuzu
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