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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

FalkorDB is an exceptionally rapid, multi-tenant graph database that is finely tuned for GraphRAG, ensuring accurate and relevant AI/ML outcomes while minimizing hallucinations and boosting efficiency. By utilizing sparse matrix representations alongside linear algebra, it adeptly processes intricate, interconnected datasets in real-time, leading to a reduction in hallucinations and an increase in the precision of responses generated by large language models. The database is compatible with the OpenCypher query language, enhanced by proprietary features that facilitate expressive and efficient graph data querying. Additionally, it incorporates built-in vector indexing and full-text search functions, which allow for intricate search operations and similarity assessments within a unified database framework. FalkorDB's architecture is designed to support multiple graphs, permitting the existence of several isolated graphs within a single instance, which enhances both security and performance for different tenants. Furthermore, it guarantees high availability through live replication, ensuring that data remains perpetually accessible, even in high-demand scenarios. This combination of features positions FalkorDB as a robust solution for organizations seeking to manage complex graph data effectively.

Description

Searching and analyzing structured data is easy; however, over 80% of generated data is unstructured, requiring a different approach. Machine learning converts unstructured data into high-dimensional vectors of numerical values, which makes it possible to find patterns or relationships within that data type. Unfortunately, traditional databases were never meant to store vectors or embeddings and can not meet unstructured data's scalability and performance requirements. Zilliz Cloud is a cloud-native vector database that stores, indexes, and searches for billions of embedding vectors to power enterprise-grade similarity search, recommender systems, anomaly detection, and more. Zilliz Cloud, built on the popular open-source vector database Milvus, allows for easy integration with vectorizers from OpenAI, Cohere, HuggingFace, and other popular models. Purpose-built to solve the challenge of managing billions of embeddings, Zilliz Cloud makes it easy to build applications for scale.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 
ChatGPT Yes 
Google Cloud Platform Yes 
OpenAI Yes 
ChatGPT Plus No 
ChatGPT Pro No 
Cohere No 
Coral No 
DSPy Yes 
Gemini Enterprise Yes 
HoneyHive No 
Hugging Face No 
IBM watsonx.data No 
LangChain Yes 
Llama Yes 
Mem0 Yes 
Microsoft Azure Yes 
Netlify Yes 
PyTorch No 
Vercel Yes 

Integrations

Amazon Web Services (AWS) Yes 
ChatGPT Yes 
Google Cloud Platform Yes 
OpenAI Yes 
ChatGPT Plus Yes 
ChatGPT Pro Yes 
Cohere Yes 
Coral Yes 
DSPy No 
Gemini Enterprise No 
HoneyHive Yes 
Hugging Face Yes 
IBM watsonx.data Yes 
LangChain No 
Llama No 
Mem0 No 
Microsoft Azure No 
Netlify No 
PyTorch Yes 
Vercel No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$0
Zilliz Cloud on AWS
Compute Unit (CU) - $0.259 / hour
Storage - $0.025 / GB per month

Zilliz Cloud on Google Cloud
Compute Unit (CU) - $0.215 / hour
Storage - $0.02 / GB per month
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

FalkorDB

Founded

2023

Country

Israel

Website

www.falkordb.com

Vendor Details

Company Name

Zilliz

Founded

2017

Country

United States

Website

zilliz.com

Product Features

Database

Backup and Recovery Yes 
Creation / Development No 
Data Migration Yes 
Data Replication No 
Data Search Yes 
Data Security Yes 
Database Conversion No 
Mobile Access No 
Monitoring No 
NOSQL No 
Performance Analysis No 
Queries Yes 
Relational Interface No 
Virtualization No 

Alternatives

Alternatives

Embeddinghub Reviews

Embeddinghub

Featureform
InfiniteGraph Reviews

InfiniteGraph

Objectivity
Milvus Reviews

Milvus

Zilliz