TigerGraph DB
neo4j
Azure Cosmos DB
Memgraph
Virtuoso
Amazon Neptune
JanusGraph
ArangoDB
FalkorDB
neo4j
Memgraph
Amazon Neptune
ArangoDB
Ontotext Graph DB
JanusGraph
GitHub Pages
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.
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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, FalkorDB seems to be more popular. It has been mentiond 3 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.
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
neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.
Azure Cosmos DB - NoSQL JSON database for rapid, iterative app development.
Memgraph - Memgraph is an open source graph database built for real-time streaming and compatible with Neo4j. Whether you're a developer or a data scientist with interconnected data, Memgraph will get you the immediate actionable insights fast.
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.
Virtuoso - Virtuoso app enables you to practice and keep a record of your learning activities to build custom lessons.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.