AI/ML TEAMS
AI/ML teams needing fast data discovery and retrieval
Real-Time Search for Unstructured Data at Scale
NeuralSearch eliminates slow file-system crawlers and stale indexes by turning unstructured data into a real-time, searchable source of truth. It enables instant natural language, SQL, and semantic search queries across core, cloud, and edge environments to accelerate AI, analytics, and data discovery.
Search Smarter. Discover More. Accelerate AI. Find Anything. Instantly.
Instant Visibility Into Unstructured Data
NeuralSearch makes petabytes of unstructured data immediately searchable by turning live file-system metadata into real-time intelligence. Users can find files instantly without waiting for crawlers, indexing jobs, or manual tagging.
Eliminates Complex Search Infrastructure
Traditional search requires separate VMs, databases, ETL pipelines, and ongoing maintenance. NeuralSearch is built directly into the storage platform, removing operational overhead, reducing infrastructure costs, and simplifying management.
Faster Queries at Massive Scale
Using native columnar indexes, NeuralSearch delivers constant-time query performance even across billions of files. Customers avoid slow namespace walks and performance degradation as data scales.
Search by Metadata, Language, or Meaning
Customers can use SQL queries, plain English prompts, or semantic search with vector embeddings to find data by structure, context, or intent—not just filenames or predefined tags. This improves discovery across AI, analytics, compliance, and content workflows.
Global Search Across Core, Cloud, and Edge
Integrated with Qumulo Cloud Data Fabric, NeuralSearch provides a geo-distributed view of data across environments. Metadata is propagated everywhere, enabling consistent search without replication or separate indexing systems.
Better Support for AI & Agentic Workflows
NeuralSearch is MCP-ready and supports open formats like Parquet and Iceberg, making it ideal for AI/ML pipelines, analytics platforms, and autonomous agents using tools like Claude, LangChain, and CrewAI. It enables faster data discovery and direct retrieval through NFS or S3.
NeuralSearch is Designed For
ANALYTICS TEAMS
Analytics teams replacing namespace walks with SQL queries
AGENTIC AI PLATFORMS
Agentic AI platforms using MCP-ready interfaces for tools like Claude, LangChain, and CrewAI
Turn Unstructured Data into Unified AI-Ready Intelligence.
Real-Time Search Across Your Entire Data Estate. Search Any Data, Anywhere, Instantly.
NeuralSearch Frequently Asked Questions
NeuralSearch is Qumulo’s storage-native search and query intelligence platform for unstructured data. It transforms filesystem metadata into real-time, searchable intelligence, allowing users to query files by metadata, natural language, or semantic meaning without relying on external crawlers, ETL pipelines, or separate databases.
Traditional search platforms depend on scheduled crawlers, separate databases, and ETL workflows that quickly become stale and add operational complexity. NeuralSearch is built directly into the storage layer, so it is always current, requires no bolt-on infrastructure, and delivers constant-time query performance using native columnar indexes.
NeuralSearch supports four key capabilities:
• SQL-based metadata search
• Temporal search (“What changed since Monday?”)
• Natural language search using plain English
• Semantic search using vector embeddings to find content by meaning rather than labelsSemantic search uses vector embeddings to help users find files based on meaning, context, or similarity—not just filenames, folders, or tags. For example, users can search for “desert chase scenes involving the Child” and retrieve relevant video clips based on visual similarity rather than manual labels.
Because NeuralSearch is integrated directly into Qumulo Cloud Data Fabric (CDF), metadata is propagated globally across environments. This provides a geo-distributed view of data and enables consistent search across edge, core, and cloud without replication or separate indexing systems.
NeuralSearch eliminates slow namespace walks, stale search indexes, manual tagging limitations, and the complex infrastructure required for traditional search systems. It helps organizations accelerate analytics, improve AI/ML pipeline efficiency, simplify compliance investigations, and make unstructured data far easier to discover and use.
NeuralSearch with Databricks: A Smarter Approach to Unstructured Data for AI
Qumulo and Databricks together help organizations unlock the full value of unstructured data for AI, analytics, and modern data workflows. Qumulo delivers a globally distributed, high-performance data platform spanning core, cloud, and edge, while Databricks provides a unified environment for data engineering, analytics, and AI.
Additional Resources
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When Flash Becomes the Bottleneck: Why NVMe Scarcity Is Rewriting Enterprise Storage Strategy
Over the past eighteen months, enterprise infrastructure buyers have been forced to confront a reality that had been comfortably abstracted away for more than a decade.
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Data is Everything
Data is everything. I’ve said for decades that the ‘network is the platform’, that compute reshapes industries, that storage provides the digital foundation. But the truth – the real truth – is that all of these domains only matter because of the data that flows through them.
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Lakehouse Patterns on Qumulo with Databricks
Qumulo and Databricks have completed a joint integration that lets enterprise lakehouses span an organization’s entire data estate. Wherever the data lives, on-premises, at the edge, or in any major cloud, Databricks can now read, write, and govern it through Qumulo storage.
