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Chroma
5.0
(1)
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Chroma Reviews & Product Details

Chroma Overview
What is Chroma?

Chroma is a vector database designed to efficiently store, index, and retrieve high-dimensional vector data, often used in applications like machine learning, search engines, and recommendation systems. It focuses on enabling fast and scalable similarity searches among vectors, leveraging optimized data structures and algorithms to provide quick query responses, even in large-scale datasets.

Company Chroma Technology Corp
Year founded 1991
Company size 51-200 employees
Headquarters Bellows Falls, VT, United States
Social Media
Linkedin | Twitter
Chroma Categories on Findstack
N/A
Vector Database Software
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Crevio
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$29.00/month
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Ask Questions about Chroma
What Chroma is best for?
How does Chroma compare to PG Vector?
What are the pros and cons of Chroma?
Chroma Product Details
Capabilities
API
CLI
Segment
Small Business
Mid Market
Freelancer
Enterprise
Deployment Cloud / SaaS / Web-Based, On-Premise Linux, On-Premise Windows
Support Email/Help Desk, FAQs/Forum, Knowledge Base
Training Documentation
Languages English
Chroma Features
ACID Compliance
Access Controls
Backup and Restore
Cloud Deployment Options
Customizable Dashboards
Data Compression
Data Import/Export
Data Sharding
Developer Tools
Distributed Architecture
Fault Tolerance
Full-text Search
Geospatial Data Handling
High Availability
Hybrid Deployment
Indexing
Integration APIs
Low Latency
Machine Learning Integration
Monitoring and Alerts
Multi-Model Support
On-Premises Deployment
Performance Metrics
Query Optimization
Real-time Data Processing
Replication
Scalability
Security and Encryption
Support for Vector Operations
User Management
Chroma Integrations
See all 3 Chroma Integrations
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Last updated: December 03, 2024
Chroma Logo
1 Chroma Review
5.0 out of 5
Small Business (50 or fewer emp.)
Aug 08, 2023
 Source
Overall Rating:
5.0
Prashanth D. avatar
Prashanth D.
Lead Engineer
Share
"A vector Storage and retrieval"
What do you like best about Chroma?

As it is a open source vector db and it allows complex range searches or querying. The community is growing day by day and can get support for issues.

What do you dislike about Chroma?

The performance might not match with pinecone's performance in some scenarios.

What problems is Chroma solving and how is that benefiting you?

It helps in storing high dimensional vectors. For finding duplicate records in document or article I'm using Chroma Vector Db to store the vectors.