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RAG Platform

Raglabs.co : Your Company's Own ChatGPT

Enterprise-grade ChatGPT powered by your company's proprietary data

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Category
Software
Ideal For
Enterprises
Deployment
Cloud / Hybrid
Integrations
None+ Apps
Security
Data isolation, encryption at rest and in transit, access controls
API Access
Yes - REST API for seamless integration

About Raglabs.co : Your Company's Own ChatGPT

Raglabs.co delivers a transformative Retrieval-Augmented Generation (RAG) platform that enables enterprises to build ChatGPT-like experiences grounded in their proprietary data. By combining advanced Large Language Models with intelligent document retrieval, the platform eliminates hallucinations and delivers precise, contextually accurate answers from vast pools of unstructured information—product descriptions, internal documentation, knowledge bases, and data assets. Organizations gain immediate access to reliable insights without exposing sensitive data to public LLM endpoints. AiDOOS enhances Raglabs deployment through scalable cloud infrastructure, enterprise governance frameworks, seamless integrations with existing knowledge management systems, and optimization for high-volume query workloads. The platform empowers customer support, research teams, and knowledge workers to extract maximum value from company-specific information while maintaining strict data privacy and security standards.

Challenges It Solves

  • Enterprises struggle to extract accurate insights from massive unstructured data pools
  • Generic LLMs hallucinate and provide unreliable answers without company context
  • Sensitive proprietary data cannot be safely shared with public AI services
  • Knowledge workers waste time searching across fragmented data sources
  • Organizations lack cost-effective ways to build custom AI assistants

Proven Results

64
Reduced time to extract insights from unstructured data
48
Decreased AI hallucinations through grounded retrieval
35
Lower total cost of ownership versus custom AI development

Key Features

Core capabilities at a glance

Company-Specific RAG Engine

Ground LLM responses in your proprietary data

Eliminates hallucinations and ensures factual accuracy

Advanced Document Indexing

Intelligent retrieval from unstructured data

Seconds-fast query response times across billions of documents

Multi-LLM Support

Flexibility to choose optimal language models

Deploy with GPT-4, Claude, or open-source LLMs as needed

Enterprise Security & Privacy

Keep sensitive data on-premises or private cloud

100% data isolation with zero exposure to third parties

Seamless Integration APIs

Connect to existing enterprise systems

Plug into CRM, knowledge bases, and document management tools

Real-Time Analytics Dashboard

Monitor query performance and user engagement

Actionable insights to continuously improve AI assistant

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Real-World Use Cases

See how organizations drive results

Customer Support Automation
Empower support teams with instant access to product documentation, FAQs, and case histories. Agents provide faster, more accurate responses while reducing escalations.
72
70% reduction in average support response time
Internal Knowledge Assistant
Enable employees across departments to query company policies, procedures, training materials, and institutional knowledge instantly.
58
58% fewer HR and compliance policy inquiries
Legal & Compliance Research
Legal teams query contract databases, regulatory documents, and case law repositories to identify risks and precedents rapidly.
65
65% faster legal research and contract review
Product Information Retrieval
Sales and marketing teams instantly access detailed product specifications, competitive intelligence, and customer success stories.
81
81% improvement in deal cycle speed
Healthcare Clinical Decision Support
Clinicians access patient records, treatment guidelines, and research papers to support evidence-based care decisions.
52
52% faster clinical information lookup

Integrations

Seamlessly connect with your tech ecosystem

S

Salesforce

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Embed RAG assistant into CRM for instant product and customer context

M

Microsoft SharePoint

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Index and query enterprise documents and knowledge repositories

C

Confluence

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Connect to team wikis and documentation for real-time knowledge retrieval

S

Slack

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Deploy conversational AI assistant within team communication platform

Z

Zendesk

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Enhance support ticketing with AI-powered context and recommendations

J

Jira

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Query project documentation and issue histories for troubleshooting

S

ServiceNow

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Power IT service management with knowledge-grounded AI responses

C

Custom APIs

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REST API enables integration with proprietary enterprise systems

Implementation with AiDOOS

Outcome-based delivery with expert support

Outcome-Based

Pay for results, not hours

Milestone-Driven

Clear deliverables at each phase

Expert Network

Access to certified specialists

Implementation Timeline

1
Discover
Requirements & assessment
2
Integrate
Setup & data migration
3
Validate
Testing & security audit
4
Rollout
Deployment & training
5
Optimize
Performance tuning

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Alternatives & Comparisons

Find the right fit for your needs

Capability Raglabs.co : Your Company's Own ChatGPT BitSave Humantic AI FutureAnalytica
Customization Excellent Good Good Excellent
Ease of Use Good Good Excellent Excellent
Enterprise Features Excellent Excellent Excellent Excellent
Pricing Fair Fair Fair Good
Integration Ecosystem Good Good Excellent Good
Mobile Experience Fair Fair Good Fair
AI & Analytics Excellent Excellent Excellent Excellent
Quick Setup Good Good Good Excellent

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Frequently Asked Questions

What is the difference between Raglabs and generic ChatGPT?
Raglabs grounds AI responses in your company's proprietary data, eliminating hallucinations and ensuring factual accuracy. Generic ChatGPT lacks context about your business and cannot access secure internal data.
Does Raglabs send my data to OpenAI or other third parties?
No. Raglabs processes data either on your private cloud or on-premise infrastructure with zero exposure to external services. You maintain complete data sovereignty.
How quickly can we deploy Raglabs?
With AiDOOS managed services, most enterprises achieve production deployment within 2-4 weeks. Cloud setup typically takes 48 hours; custom integrations depend on your existing systems.
Which data sources can Raglabs index?
Raglabs supports documents, databases, APIs, knowledge bases, websites, and unstructured text. Common sources include Salesforce, SharePoint, Confluence, and custom file repositories.
Can Raglabs integrate with our existing enterprise systems?
Yes. Raglabs provides REST APIs and pre-built connectors for popular platforms (Slack, Salesforce, Zendesk, ServiceNow). AiDOOS can architect custom integrations with proprietary systems.
How does Raglabs handle sensitive compliance requirements like HIPAA or GDPR?
Raglabs supports on-premise deployment, data encryption, audit logging, and data residency controls. AiDOOS can configure compliance frameworks tailored to your regulatory requirements.