Security-first Vector Database
with Performance at Scale.
Queryable Encryption for security at-rest, in-transit & IN-MEMORY.
Blazing-fast queries. Cost-efficient Vector Searches
Built for Enterprise AI Applications
VectorX is designed from the ground up to meet the demanding requirements of modern AI applications.
VectorX ensures encrypted vector searches without decryption, delivering 99%+ recall for secure, precise context retrieval across diverse, high-value applications.
VectorX’s proprietary hybrid graph approach enables search operations with just 1/10th the memory, driving massive scalability and reducing operating costs by up to 90%.
Optimized for Cost & Scalability
VectorX dramatically reduces your operational costs while scaling seamlessly with your needs.
| Vector Scale | Competitor Acost per month | Competitor Bcost per month | Competitor Ccost per month | VectorXcost per month |
|---|---|---|---|---|
| 1 Million Vectors | $350 | $290 | $320 | $19940%↓ |
| 10 Million Vectors | $1,800 | $1,500 | $1,650 | $79955%↓ |
| 100 Million Vectors | $12,000 | $9,500 | $10,800 | $3,99965%↓ |
Pricing comparison based on published rates as of April 2025. Actual costs may vary based on specific configurations and requirements.
Major Programming Language Support
Engineered for Modern Development Environments.
import vectorx
# Connect to VectorX
db = vectorx.connect(api_key="YOUR_API_KEY")
# Create a collection
collection = db.create_collection("documents")
# Add vectors
collection.add(
vectors=[[0.1, 0.2, 0.3], [0.4, 0.5, 0.6]],
metadata=[{"text": "Document 1"}, {"text": "Document 2"}]
)
# Search for similar vectors
results = collection.search(
query_vector=[0.15, 0.25, 0.35],
limit=5
)
print(results)Built for Enterprise AI Applications
Fast, Secure, and Scalable by Design
Start Building with VectorX Today
Add the power of VectorX Encryption, and Performance to your RAG based Gen AI solution! Its super simple to start.
Vector Database Use Cases
VectorX powers a wide range of AI applications across industries.
Retrieval-Augmented Generation (RAG)
Enhance large language models with real-time retrieval from external data sources for accurate and verifiable outputs.
Personalized Recommendations
Deliver user-specific product, content, and media suggestions based on behavioral data and similarity models.
Semantic Text Search
Enable high-precision semantic search across documents, support content, and enterprise knowledge bases.
Image Similarity Search
Instantly retrieve visually similar images from large datasets for e-commerce, media, and creative workflows.
Audio & Video Matching
Search and match audio clips and video segments by content similarity for media management, moderation, and compliance workflows.
AI Chatbots
Equip chatbots with real-time retrieval of enterprise knowledge for accurate, context-aware, and human-like interactions across support, sales, and internal teams.
Case Studies
See how leading companies are transforming their businesses with VectorX
AI Sales Coach
How VectorX helped in delivering 20 Years of sales wisdom in real-time while keeping business data secure in an AI Coach.
Healthcare Compliance
Healthcare Agentic SaaS platform achieved HIPAA compliance with VectorX to be able to enter regulated markets.
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