Organizations generate massive amounts of knowledge every day: proposals, technical docs, onboarding guides, resumes, reports, and internal policies.Yet most of that knowledge lives buried in folders.
Qubika’s Unstructured Knowledge Assistant Accelerator transforms enterprise documents into a governed, searchable, and queryable knowledge layer using semantic search and AI-powered Q&A on Databricks, dramatically reducing time spent searching while preserving lineage, security, and trust.
The challenge: information exists, but knowledge is hard to access
Modern organizations store thousands of documents across shared drives and repositories like Google Drive, SharePoint, or internal file systems.
Finding the right document, or the right answer inside a document, often means manually browsing folders, opening multiple versions, and cross-checking sources. This slows down teams and leads to duplicated effort and inconsistent decisions.
Typical pain points include:
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Hours spent searching across folders and document versions
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No reliable way to ask questions over documents in natural language
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Lack of context, metadata, and traceability around retrieved information
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Limited governance and access control over sensitive documents
Without a unified way to ingest, index, and query unstructured content, organizations struggle to turn documents into usable, trusted knowledge.
We built the Unstructured Knowledge Assistant Accelerator to solve exactly that.
The Unstructured Knowledge Assistant: from folders to answers
The Unstructured Knowledge Assistant Accelerator is an AI-powered document intelligence solution that enables semantic search and natural-language Q&A over enterprise documents, securely and at scale.
Instead of browsing files, users can ask questions like:
“Show me the most relevant proposals for retail clients”
“Which candidates match this role?”
“What are the latest compliance policies for this department?”
Behind the scenes, the accelerator handles the entire knowledge lifecycle:
Automated document ingestion
Securely connects to document repositories and ingests PDFs, Word files, slides, spreadsheets, and text documents.
Semantic understanding at scale
Extracts, chunks, and embeds content into Databricks Vector Search, enabling similarity search across thousands of documents.
AI-driven Q&A with citations
Uses AgentBricks Knowledge Assistant to generate grounded answers, always linked back to the original source documents.
Governed knowledge by default
Stores embeddings, metadata, lineage, and access rules in Unity Catalog, ensuring compliance, auditability, and secure sharing.
The result is a searchable enterprise knowledge layer that teams can trust.
How it works: AI-powered document intelligence on Databricks
Qubika designed the accelerator as a modular system running natively on the Databricks Lakehouse, combining ingestion, search, reasoning, and governance.
The workflow is simple and repeatable:
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Connect & ingest documents from enterprise repositories
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Process and embed content for semantic retrieval
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Index knowledge using Databricks Vector Search
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Ask questions and refine results through an interactive Databricks App
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Return cited answers with full lineage and context
Each component can operate independently or integrate into existing data and AI pipelines.
Where it delivers value: use cases and personas
The Unstructured Knowledge Assistant is designed for teams that rely heavily on documents to do their jobs.
Business Enablement
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Instantly locate relevant proposals, presentations, or past projects
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Enable non-technical users to retrieve insights using natural-language questions
Talent Acquisition
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Match candidate resumes to open roles using semantic search
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Identify top profiles by skills, experience, or prior project performance
Knowledge Management & Operations
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Retrieve the latest policies or compliance documents by topic
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Turn document repositories into a centralized, searchable knowledge hub
Across all use cases, answers remain traceable, governed, and source-backed.
Key benefits for the enterprise
Organizations using Qubika’s Unstructured Knowledge Assistant Accelerator typically see:
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Reduce time spent searching for documents and focus on decision-making
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Reduced dependency on technical teams for information retrieval
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A single, governed source of truth for unstructured knowledge
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Improved onboarding by making institutional knowledge accessible
Built on Databricks. Powered by Qubika.
The accelerator runs entirely on Databricks, leveraging Vector Search, Unity Catalog, Databricks Apps, Lakeflow Jobs, and Databricks-hosted LLMs to deliver scalable, secure document intelligence.
This is not a standalone chatbot or a disconnected search tool.
It’s a governed knowledge assistant that fits naturally into your Lakehouse architecture.
Stop searching. Start asking.
If your teams are spending hours digging through folders, re-reading documents, or relying on tribal knowledge, the Unstructured Knowledge Assistant Accelerator offers a better way.
Transform unstructured documents into accessible, trustworthy knowledge, and empower your teams to self-serve insights with confidence.
Ready to unlock your enterprise knowledge?
Talk to Qubika to learn more or schedule a live demo of the Unstructured Knowledge Assistant Accelerator.
