Enhance your AI’s accuracy and relevance using Retrieval-Augmented Generation. We design secure RAG-based systems that connect Large Language Models to your private data, making AI truly useful for your business.
/ Join ChatGPT in shaping the future of technology for whole world.
/ Join ChatGPT in shaping the future of technology for whole world.
- Document Q&A bots from PDFs, manuals, etc.
- Company knowledge base chat systems
- RAG-enabled customer support tools
- Financial, legal, and compliance data access bots
- Semantic enterprise search solutions
- Slack, WhatsApp, or email assistant integrations
- Retrieval on top of CRMs, ERPs, or SharePoint
- Real-time RAG pipelines from live data feeds
- Evaluation & hallucination reduction tools
- Multilingual and multi-source retrieval support
Slack
Duolingo
Messanger
Skype
Telegram
Discord
Happy clients
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Q1: What is RAG and why is it better than a standalone LLM?
RAG connects your private data to the LLM, ensuring responses are grounded in real, reliable, and recent information.
Q2: What kind of data sources can be connected to RAG?
We support PDFs, DOCX, websites, CRMs, SQL/NoSQL databases, emails, and even cloud storage like Google Drive or SharePoint.
Q3: Can the RAG system be deployed on our internal server?
Yes, we tailor AI solutions to meet the unique requirements of each client, ensuring maximum relevance and effectiveness.
Yes, AiBridze offers fully private, on-premise deployments with complete ownership and control.
Yes, we tailor AI solutions to meet the unique requirements of each client, ensuring maximum relevance and effectiveness.
Q4: How do you ensure the answers are accurate and safe?
We use evaluation tools, reranking, memory tuning, and access filters to reduce hallucination and enforce reliability.
Q5: How long does it take to build a custom RAG solution?
Typically, 2–6 weeks depending on the number of data sources, size, and integration requirements.
