
GitHub
GitLab
BitBucket
VS Code
Git
Treehouse
Pantheon
CodePen
FalkorDB
neo4j
ArangoDB
Amazon Neptune
RedisGraph
TigerGraph DB
Dgraph
Titan Database
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.
GitHub
FalkorDBFalkorDB'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.
GitHub is an essential platform for modern software development. It makes it easy to host, manage, and collaborate on code while providing powerful tools for version control, project management, and team collaboration. Its large open-source community is another major strength, offering developers access to countless projects, resources, and opportunities to learn. Overall, GitHub is a reliable and professional platform that has become a fundamental part of the developer ecosystem.
Based on our record, GitHub seems to be a lot more popular than FalkorDB. While we know about 2483 links to GitHub, 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.
1228 push attempts died with fatal: could not read Username for 'https://github.com' — an https remote with no credential helper and no stored Credentials. First one 2026-07-21T20:48:03Z, still failing as I write this. Thirty-nine Days. - Source: dev.to / 5 days ago
They can include the protocol, it’s that regardless of what’s put in there it’ll use https, which is explained with examples both in the following sentences and then in more detail in a linked doc. > For repositories on GitHub, GitLab, and Bitbucket, a specifier now names a repository rather than choosing a transport. github:owner/repo, owner/repo, git+https://…, and git+ssh://git@… all resolve through the host's... - Source: Hacker News / 8 days ago
First things first, and this case, we had to understand what git and git hub really is. From the lesson, Git is basically a version control systems installed on the computer that tracks changes made within a project. On the other hand, git hub refers to an online platform allowing users to store their git repositories and this could be easily accessed through [https://github.com/]. Apart from just storing... - Source: dev.to / 6 days ago
[credential] useHttpPath = true [credential "https://github.com/"] helper = helper = "!f() { \ [ \"$1\" = get ] || exit 0; \ account=''; \ while IFS='=' read -r k v; do \ [ \"$k\" = path ] && account=${v%%/*}; \ done; \ [ -n \"$account\" ] || exit 0; \ token=$(gh auth token --user \"$account\") || exit 0; \ printf... - Source: dev.to / 8 days ago
This has now created our repository. This repository contains a link which we can share to other users, and this is the link that we need to link our local folder with the newly created repository. To do this, simply access it once you scroll down in the page you are in the simply copy the http link. This is what we shall use. The link usually looks like this http://github.com//. - Source: dev.to / 11 days 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 / over 1 year 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 / over 1 year 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 / over 1 year ago
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.
BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
VS Code - Build and debug modern web and cloud applications, by Microsoft
Amazon Neptune - Amazon Neptune is a fully managed graph database service that works with highly connected datasets. Learn about the benefits and popular use cases.