
FalkorDB
neo4j
ArangoDB
Amazon Neptune
RedisGraph
TigerGraph DB
Dgraph
Titan Database
GitHub CLI
GitHub
Git
Homebrew
VS Code
fzf
GitHub Actions
GitHub Copilot
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.
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.
Based on our record, GitHub CLI seems to be a lot more popular than FalkorDB. While we know about 144 links to GitHub CLI, 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 / 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
Requirements: glab authenticated for GitLab repos, and/or gh authenticated for GitHub repos. - Source: dev.to / 3 days ago
Step two is the whole bootstrap surface: chezmoi, the Bitwarden CLI and the GitHub CLI. Step four clones the repo, installs the Brewfile, applies the macOS defaults and renders every dotfile including the secrets. It takes as long as Homebrew takes. - Source: dev.to / 9 days ago
It’s worth pointing out that if you’re not aware of it, you can install the github cli[1] and view, merge, close etc prs and issue from the command-line. As well as (for me at least) being a significant step up in terms of productivity (from having to go to a website to merge a pr or view an issue) that has the advantage that “invisible” text in a PR or issue comment would show up very clearly. (At least in my... - Source: Hacker News / 27 days ago
Install GitHub CLI and run gh copilot to get AI command help, verify syntax, and simplify GitHub workflows from the shell. It’s a great way to keep working in one place while still getting quick guidance on commands and workflow steps. - Source: dev.to / about 2 months ago
Gh auth token — if the GitHub CLI is installed and logged in. - Source: dev.to / 4 months ago
neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Git - Git is a free and open source version control system designed to handle everything from small to very large projects with speed and efficiency. It is easy to learn and lightweight with lighting fast performance that outclasses competitors.
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.
Homebrew - The missing package manager for macOS