Secure Enterprise Knowledge

Connect AI to Your Secure Private Files

Ground large language models securely on your files, manuals, databases, and company guidelines. Let your team search and chat with real-time source citations.

  • ✓100% Private cloud hosting for complete data security
  • ✓Clickable inline page numbers and document citations
  • ✓Sub-100ms vector database retrieval latency
Build Your Searchable Pipeline
movya-rag-assistant v1.0
Hello! Try asking me about remote work policies, password security, or databases.
Suggested Queries (Click to Test)
Knowledge ROI

The Real Cost of Digging for Company Answers

Compare traditional document lookup methods with an intelligent enterprise semantic database.

The Search Bottleneck

Hours Wasted Every Day

Employees spend significant chunks of their workday simply looking up company policies, manuals, or past client logs. By replacing keyword matching with deep semantic understanding, you unlock instant self-serve answers.

InstantAnswer Speed
100%Cited Sources

Manual Folder Digging vs. Semantic Search

Normally, staff open multiple PDFs and use general keyword matches to find a phrase. Movya RAG reads the context of questions, locating the exact paragraph you need across thousands of files simultaneously.

Manual Keyword Method: Open files, keyword mismatch, repeat
Movya Semantic Retrieval: Direct contextual search with cited page numbers

Stale Revisions vs. Real-Time Indexing

Revision cycles make search menus inaccurate when updates get left out. Our RAG engine connects directly to your databases or document channels, indexing newly modified guides instantly so queries never return outdated facts.

Traditional Setup: Outdated manuals in folders
Movya RAG: Real-time indexing channels

Hallucinations vs. Secure Data Boundaries

Unconstrained LLMs invent answers or expose confidential trade secrets. RAG enforces a sandboxed context, meaning the AI is strictly forbidden from searching outside your approved files.

Public Chatbot: Hallucinates facts, leaks information
Movya RAG Sandbox: Confined to private source files only
Build Your Enterprise Knowledge Engine
How it Works

A direct link between language models and your company data

Instead of slow, risky, and expensive model retraining, our setup queries your files in real time to fetch relevant facts for the AI. This process completely prevents guesswork by anchoring every answer in your actual company documents.

Your data stays 100% safe on your private cloud servers, and any edits made to your documents are reflected instantly in search answers without requiring manual database syncs or coding overhead.

RAG vs Model Fine-Tuning

✕Traditional Fine-Tuning
  • Very high GPU retraining & compute costs
  • Frequent AI hallucinations (unverifiable answers)
  • Requires hours/days to ingest document updates
✓Movya Private RAG
  • Zero extra training or computation overhead
  • 100% verifiable answers with highlighted citations
  • Real-time sync: instant file updates mapped in search
System Architecture Simulation

How Your Data is Processed & Searched

Explore the interactive pipelines. Toggle between document ingestion and live queries, and click on each step to inspect production parameters.

DocumentsStep 01
PDFs, Wikis, Files
FormattingStep 02
Clean & Split
IndexingStep 03
Vector Representation
DatabaseStep 04
Secure Vector Index
Step Parameter Info

Documents

Connect Notion, manuals, databases, or cloud folders securely.

Production Pipeline Parameters
File FormatsPDF, DOCX, Markdown, HTML, JSON
Source ConnectorsAWS S3, Google Drive, Notion, Slack API
SecurityRead-only access, local decryption keys

* The pipelines are grounded directly on your enterprise architecture. By executing search querying using semantic dense representation (1536d) combined with token-based matching, we guarantee average query latencies of under 100ms.

Private Cloud Compliant (HIPAA & SOC2 Ready)
Our Stages

Our Development Stages

We guide development step-by-step—from reviewing your files and formatting them to testing search accuracy.

01
AuditPhase 1

Source Discovery & Data Audit

We look at where your company stores information (Notion, PDFs, databases, or wiki files). We check the quality and layout of your files, while setting up strict rules to keep your customer data secure and compliant.

Audited Data Sources
📁 PDFs & Docx Files ✓🌐 Notion Wiki Space ✓🗄️ SQL Databases ✓🔒 GDPR Compliance Rules ✓
Search Options

What We Build

See how we configure searchable files, connect databases, and set up secure search interfaces.

Q&A

Chat with Your Files

Get quick answers from your documents.

Connect your PDF manuals, guidelines, and onboarding documents to a chat window. Employees or customers can get quick, accurate answers that link directly to page numbers.

LlamaIndexOpenAI GPT-4oPinecone
Search

Smart Knowledge Base Search

Find articles using natural phrasing.

Replace old search folders with smart semantic search. Users can find the right help articles or wiki guides even if they make typos or use different wording.

WeaviateLangChainMistral AI
SQL

English Database Queries

Pull database reports without code.

Convert natural English questions into secure database lookups. Let team leaders pull real-time reports and metrics without needing to write SQL queries.

LangGraphpgvectorOllama
Real-Time

Live Document Sync

Keep your data updated in real time.

Connect live chat histories, active logs, and updated project files instantly. Your assistant always references the latest information without needing manual database uploads.

n8nLangChainPinecone
Hybrid

Hybrid Search Setup

Get the best of keywords and semantic search.

Combine keyword match searches with context-aware intent. This is ideal for finding exact model numbers, technical codes, or custom acronyms.

WeaviateCohere Re-rankerLlamaIndex
Quality

Accuracy & Quality Checks

Monitor accuracy and stop incorrect answers.

We run regular checks to make sure the AI answers correctly and stays within limits. We track response times and verify facts before answers reach your users.

RAGAsCustom scoringLangGraph
EVALUATION METRICPassed
9.8 / 10Faithfulness Score
Context Precision:98.5%
Answer Relevance:99.1%
In Action

Where It Helps

See how different businesses use secure search pipelines to save time and verify details.

Legal & Compliance

Scan contracts, check policy guidelines, and search through case histories. Every answer links back to the exact source paragraph for easy reference.

RAG Search
Prompt: "Find the termination clause for active vendor agreements."
Answer: According to Vendor Agreement (Section 9.2), either party may terminate the agreement with 30 days written notice to the counterparty.
↪ vendor_agreement_2025.pdf (Page 14)

Healthcare

Access reference wikis, trials, and research databases to support decision-making, keeping sensitive healthcare data secure on your private cloud.

RAG Search
Prompt: "What is the policy for patient data access logging?"
Answer: Under HIPAA compliance guidelines (L110), all user queries and edits to electronic health records must be logged with timestamp and user ID.
↪ medical_compliance_soc2.pdf (Page 8)

Enterprise Internal Tools

Connect scattered Notion pages, internal docs, and company wikis. Let your team find files, operational notes, and guides in seconds.

RAG Search
Prompt: "How do new employees request hardware setups?"
Answer: Employees must submit an IT ticket on the internal portal. Requests are processed within 2 business days as stated in operational guidelines.
↪ internal_operations_wiki (Notion Page 2)
Our Commitment

Why Work With Us

Private Cloud Hosting

We host databases and language models on your secure private servers, keeping your sensitive company data fully protected.

Testing for Accuracy

We run regular tests and automated checks to measure accuracy and ensure citations match your source documents before launching.

Works With Your Software

We integrate search pipelines directly into the software you already use, including web apps, databases, and CRMs.

99% AccuracyAccurate CitationsVerified responses grounded in your actual documents
60% ReductionSupport Time SavedAverage across customer service search setups
10x FasterFaster RetrievalCompared to searching files and databases manually

Search your company files with confidence

Ready to deploy a secure retrieval system? Let's connect to review your documents and establish a robust, low-latency pipeline built directly into your application stack.

  • Full file audit and source code integration
  • Rigorous testing to ensure accurate answers
  • Custom search connections tailored to your tools
  • Support for private server or cloud deployment

Talk to our team to discuss hosting, SOC2 configuration, and private LLM security options.

Build Your Searchable Pipeline