RAG & Chatbots
Deploy advanced chatbots that deliver accurate, up-to-date, and trusted responses.
What Is RAG & Chatbots?
RAG & Chatbots refers to Retrieval-Augmented Generation chatbots that combine the power of large language models with your specific knowledge base to provide accurate, contextual, and up-to-date responses.
At Meraken, our RAG-powered chatbots can access real-time information, understand complex queries, and provide detailed answers that are both relevant and trustworthy. From customer support to internal knowledge management, our chatbots ensure your users always get the most accurate and helpful information available.
Why It Matters Now
Traditional chatbots provide generic responses. RAG chatbots access your specific knowledge base to deliver accurate, contextual answers that users can trust.
Accurate responses
Provides factual answers based on your knowledge base.
Real-time updates
Accesses the latest information and documentation.
Context awareness
Understands complex queries and maintains conversation context.
Source transparency
Shows sources and references for trustworthy responses.
Real‑World Use Cases
RAG & Chatbots can transform how you provide information and support:
Customer Support
Provide instant, accurate answers to customer questions using your knowledge base.
Internal Knowledge Management
Help employees quickly find information from company documentation and policies.
Product Documentation
Create interactive documentation that answers user questions intelligently.
Educational Assistants
Build learning assistants that provide personalized educational content.
How It Works
We build RAG chatbots using advanced retrieval and generation techniques.
Knowledge Base Setup
Ingest and process your documents, FAQs, and knowledge sources.
Vector Embeddings
Create semantic embeddings for intelligent content retrieval.
Retrieval System
Implement advanced search and retrieval algorithms.
Response Generation
Generate contextual responses using retrieved information.
Integration & Deployment
Deploy chatbot with monitoring and continuous improvement.
Who Is It For?
Ideal for organizations with extensive knowledge bases who need intelligent information access.
Customer Service Teams
Teams needing intelligent customer support automation
Enterprise Organizations
Large companies with extensive documentation
Educational Institutions
Schools and universities with learning resources
SaaS Companies
Software companies with complex product documentation
Healthcare Organizations
Medical institutions with extensive knowledge bases
Real‑World Impact
A B2B SaaS provider struggled with high support volumes and inconsistent answers across docs, help center, and release notes. Users were frustrated; agents were overwhelmed.
We deployed a RAG chatbot grounded in their approved knowledge: product docs, changelogs, and FAQs. It cites sources and escalates gracefully when confidence is low.
- −58% average resolution time for FAQ‑type tickets
- −40% email backlog within 3 weeks of go‑live
- +24% CSAT for support interactions handled by the bot
The team now focuses on high‑value issues while customers get fast, trustworthy answers with links back to source pages.
How Meraken Helps
Need intelligent chatbots that truly understand your content? We'll build RAG-powered solutions.
Accuracy rate for answers from knowledge base
Average time to deploy RAG chatbot systems
Reduction in support ticket volume
Availability for instant, accurate responses
FAQs
Get clear answers to common questions about RAG chatbots, knowledge base integration, and deployment options.
We can process PDFs, web pages, databases, wikis, documentation sites, and most text-based content formats.
RAG chatbots typically achieve 90-95% accuracy by grounding responses in your specific knowledge base.
Yes, we can integrate with your CRM, helpdesk, website, Slack, Teams, and other platforms.
We set up automated pipelines to sync with your content sources and update the knowledge base in real-time.
Ready to Deploy Smart Chatbots?
Let's build chatbots that truly understand and help your users with accurate, contextual responses.