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High Limit Designs
High Limit Designs

Deploy and serve GenAI models globally — without the complexity of infrastructure management.

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Store & Search
Billions of Embeddings

High-performance vector database built for AI applications. Store embeddings, run similarity search, and power RAG systems at petabyte scale with sub-10ms latency.

Start Free See How It Works
10B+
Vectors
<10ms
Query Latency
99.99%
Uptime SLA
∞
Scale

Why HLD Vector DB

Petabyte Scale

Store billions of vectors with horizontal scaling. Add nodes on demand without re-indexing or downtime.

Hybrid Search

Combine semantic similarity with keyword filters. Full-text search, metadata filtering, and vector search in one query.

Sub-10ms Queries

Optimized indexing (HNSW, PQ, diskANN) delivers consistent sub-10ms latency at any scale.

Enterprise Security

AES-256 encryption at rest, role-based access control, SOC 2 Type II compliance, and private VPC deployment.

Enterprise-Grade Capabilities

Everything you need to build production AI applications — from prototyping to petabyte-scale deployments.

Multi-Vector Support

Store and query multiple vector embeddings per document. Perfect for multi-modal and cross-encoder retrieval.

Real-Time Updates

Add, update, or delete vectors in real-time. No batch jobs or re-indexing windows needed.

Metadata Indexing

Index metadata fields for fast filtering. Combine vector similarity with structured queries.

Time-Based Retention

Auto-expire old data with TTL policies. Keep only what matters with configurable retention.

Geographic Distribution

Replicate data across regions for compliance and latency. Read from the closest replica.

Full-Text Search

BM25-based keyword search alongside vector search. Hybrid retrieval for better recall.

Integrations

REST API
Standard HTTP endpoints
Python SDK
Native Python client
LangChain
Direct LangChain integration
LlamaIndex
LlamaIndex connector
GraphQL
Flexible query language
gRPC
High-performance streaming

Use Cases

RAG Applications

Power retrieval-augmented generation with semantic search over your documents, knowledge bases, and archives.

Recommendation Systems

Build personalized recommendations using vector similarity over user behavior, preferences, and content embeddings.

Semantic Search

Enable natural language queries over unstructured data. Find relevant documents by meaning, not keywords.

Anomaly Detection

Identify outliers and anomalies by querying for vectors most dissimilar from normal patterns.

Simple, Predictable Pricing

Pay for storage and operations separately. No surprise bills. Starter plan includes 1M vectors free.

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Ready to power your AI with vectors?

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