Your Business’s First AI Layer
Gives precise, source-cited answers to specialized questions.
Customer support, research, operations, and sales — all answering from your business content.
* Drop in your website or documents. Watch your AI layer take shape.
Hi! I’m your business sales agent.
I can answer questions using your company data.
I’ll use only approved sources.
Turn Your Business Knowledge into AI Layer
Most teams sit on years of internal knowledge but can’t safely use it with public AI tools. Turn that content into a private AI layer your whole organization can use.
Add
Add documents, website, emails, research, anything.
Configure
Configure AI for support, sales, or operations without rebuilding anything.
Answer
Answers are retrieved from your content, not generic model training data.
The Retrieval Engine Behind Your AI Layer
Before generating a response, your AI layer searches approved business content and pulls the most relevant information into context.
How it works:
- Pulls answers from your approved internal data sources
- Grounds every response in real, up-to-date information
- Reduces hallucinations and operational errors
An AI layer you can trust because it’s grounded in your content.
Where Your AI Layer Creates Impact
Customer-Facing
Sales, E-Commerce, Product
- Answer product and pricing questions instantly
- Provide accurate policy and FAQ responses
- Support onboarding and customer success
Internal Operations
Processes, Knowledge, Support
- Access SOPs and internal documents instantly
- Get workflow and process guidance
- Speed up onboarding for new hires
Governance
Executives, Legal & Policy
- Summarize reports, emails, and research
- Retrieve policies and regulatory documents
- Answer using approved internal sources only
Product Assistant
Used by: Product, enablement, and training teams
Makes product documentation, onboarding material, and training guides easy to access through simple questions. Helps new hires and customers get up to speed faster without constant hand-holding.
Legal & Policy Assistant
Used by: Legal, compliance, and risk teams
Finds relevant clauses, policies, and prior documents quickly. Helps teams get reliable answers without reading through long contracts or manuals.
Operations Assistant
Used by: Operations and enterprise teams
Guides employees through step-by-step processes using approved procedures and documentation. Reduces mistakes, speeds up execution, and supports consistent operations across teams.
How Teams Use RAG-in-a-Box
Customer Support Assistant
Used by: Growth and customer services teams
Delivers accurate, brand-aligned responses across support, social, and email from a single approved knowledge base.
E-Commerce Store Assistant
Used by: Online businesses and growth teams
Answers questions about products, pricing, shipping, and returns using your actual store data. Helps customers make faster buying decisions and reduces checkout drop-off.
Employee Knowledge Assistant
Used by: Operations, HR, IT, and internal teams
Gives employees quick answers to everyday questions like company policies, internal processes, and how-to guides. Cuts down on internal emails, messages, and repeated questions.
Product & Training Assistant
Used by: Product, enablement, and training teams
Makes product documentation, onboarding material, and training guides easy to access through simple questions. Helps new hires and customers get up to speed faster without constant hand-holding.
Legal & Policy Assistant
Used by: Legal, compliance, and risk teams
Finds relevant clauses, policies, and prior documents quickly. Helps teams get reliable answers without reading through long contracts or manuals.
Operations & Process Assistant
Used by: Operations and enterprise teams
Guides employees through step-by-step processes using approved procedures and documentation. Reduces mistakes, speeds up execution, and supports consistent operations across teams.
Start now. Scale later.
Launch your AI layer in minutes. As your needs grow, we help you expand it securely across teams and systems.
We help teams with:
- Secure data connections
- Organization-wide scaling
- Custom workflows and integrations
- Ongoing optimization and data governance
Your AI Layer, Inside Your Existing Work Tools
Need a custom integration? We can build it.
Coaldev's RAG-in-a-Box FAQs
How does RAG-in-a-Box ensure the AI stays accurate and grounded in my own data?
RAG-in-a-Box indexes and structures your proprietary sources and builds a retrieval layer. When a user asks a question, the system first retrieves relevant segments from your uploaded content, then uses those facts to generate an answer. This keeps responses tied to your actual data instead of general LLM knowledge, helping ensure accuracy and relevance.
What types of files and data sources can I upload?
You can upload a wide range of content including URLs, PDFs, Word Docs, text files, and knowledge bases. The system processes this content to build retrieval indices. If you have structured repositories such as internal wikis, databases, CRM exports, or other corpora, they can also be incorporated via supported connectors or API ingestion.
How does this AI layer ensure data security, privacy, and access control?
RAG-in-a-Box is built with enterprise-grade security in mind. Your data is stored and processed in secure environments with role-based access controls so only authorized users can query or manage it. Encryption is applied in transit and at rest. You retain ownership of your sources, and deployment can be configured to meet your internal compliance requirements.
Do I need technical skills or engineering resources to get started?
No coding or credit card is required to begin exploring RAG-in-a-Box. The onboarding flow is designed for ease of use, with straightforward upload and indexing of your content. For deeper integrations with existing systems (APIs, custom data pipelines, automation workflows), technical support and optional engineering assistance are available.
How does this AI layer integrate with my existing tools and workflows?
RAG-in-a-Box is designed to connect seamlessly with your current systems. It supports API access, database connections, and export paths so you can feed indexed knowledge into internal apps, dashboards, chat interfaces, CRMs, or support platforms. This means you can use the AI agent alongside the tools your teams already rely on, without reworking your tech stack.
What deployment options are available?
You can deploy RAG-in-a-Box in ways that fit your environment. Options include cloud-hosted SaaS, private cloud / VPC deployments, and on-premises installations. API and database connections make it easy to integrate with your existing stack, and you can choose whether the system runs entirely within your infrastructure for greater control.
How do I update or reindex my data?
As your content changes, RAG-in-a-Box lets you upload updated files or connect to live sources that can be reindexed on demand or on a schedule. This ensures the AI agent always reflects the most current information from your knowledge base, policies, documentation, or other sources.
What level of support and onboarding is provided?
Coaldev offers comprehensive onboarding support to help you set up your RAG instance, including documentation, tutorials, and guided configuration. For enterprise clients, dedicated onboarding assistance, technical support tiers, and optional consulting are available to ensure your agent is optimized for your workflows and use cases.
Turn Your Business Knowledge into AI
A retrieval-based AI layer powered by your own business content.
BUILT BY COALDEV
Your data, AI-ready.
CoalDev designs and delivers custom AI systems—from RAG pipelines to enterprise chatbots—used in real business environments, not just demos.
