Fast & Accurate AI Chat Agents Powered by Your Data
Turn your company knowledge into context-aware AI chat agents.
Control how they behave. Deploy them wherever work happens.
* No Credit Card or Sign Up Required
Hi! I’m your business sales agent.
I can answer questions using your company data.
I’ll use only approved sources.
Build AI agents on your terms
Point RAG-in-a-Box at your website or documents to instantly create an AI agent based on your data.
Add Business Information
Connect a website or upload documents to give your AI a trusted source of knowledge.
Create your Agent
Spin up agents for sales, support, or internal teams, all grounded in the same data.
Keep Answers Accurate
Responses are retrieved from your content, not generic model training data.
Why RAG-in-a-Box Beats Generic LLMs
Generic AI can answer questions, but it doesn’t know your business. RAG-in-a-Box retrieves answers from your data.
What that Avoids:
- Rewriting prompts to add missing context
- Different answers across teams and tools
- AI that sounds right but gets your business wrong
AI becomes something you manage — instead of something you rely on.
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.
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.
Self-serve when you want. Fully managed when you need.
Start with RAG-in-a-Box in minutes. When you need customization, scale, or deeper integration, our team steps in.
We help teams with:
- Custom data connectors and ingestion pipelines
Advanced RAG architectures
Purpose-built agents for specific workflows
Deep integrations with internal systems
Ongoing optimization and support
Connect to Your Systems. Deploy Anywhere.
Bring your data from the tools you already use—and deploy AI agents wherever work happens. APIs, databases, or file exports. Don’t see your tool? We can connect 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 RAG-in-a-Box handle 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 RAG-in-a-Box 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.
AI You Can Actually Rely On
RAG in a Box gives you control, flexibility, and real context —
backed by CoalDev’s ability to build whatever your use case demands.
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.
