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.
Ready for Production-Grade Enterprise AI
VectorX DB is designed from the ground up to meet the enterprise requirement of high security, high performance and low operating cost for high-adoption generative AI applications.
Performing ANN searches on encrypted vector data stored in VectorX DB does not require decryption - full data security without any performance trade-offs.
Data security at-rest and in-memory ensures compliance with regulations such as HIPAA and SOC 2 in your GenAI and RAG applications.
VectorX’s proprietary hybrid graph memory approach requires just 1/10th of the memory required by leading vector databases.
Upto 90% cost reduction for vector searches while enhancing security and performance.
Built for Enterprise AI Applications
Fast, Secure, and Scalable by Design
Major Programming Language Support
Secure your GenAI application across all major programming languages with VectorX.
from vecx.vectorx import VectorX
vx = VectorX(token="your-token-here")
encryption_key = vx.generate_key()
vx.create_index(
name="my_index",
dimension=768,
key=encryption_key,
space_type="cosine"
)
index = vx.get_index(name="my_index", key=encryption_key)
index.upsert([
{
"id": "doc1",
"vector": [0.1, 0.2, 0.3],
"meta": {"text": "Example document"},
"filter": {"category": "reference"}
}
])
results = index.query(
vector=[0.2, 0.3, 0.4],
top_k=10,
filter={"category": {"eq": "reference"}}
)
for item in results:
print(f"ID: {item['id']}, Similarity: {item['similarity']}")
print(f"Metadata: {item['meta']}")
Start Building your GenAI App with VectorX DB Today
Add the power of VectorX Encryption, and Performance to your RAG based GenAI solutions. Its super simple to start.
Recognized as a Leading GenAI Innovation
VectorX DB is a winner in the GenAI category of the deeptech nasscom emerge 50 awards 2024
Vector Database Use Cases
VectorX DB 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 DB
AI Sales Coach
How VectorX DB 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 DB to be able to enter regulated markets.
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