Chatbots with retrieval augmented generation
Less experimentation, more production value
Skip the guesswork and start deploying
With Transcenda as your AI implementation partner you can deploy a high-quality RAG chatbot without building the architecture from scratch. We assess your data sources, design retrieval and semantic layers, and deliver a production-ready chatbot suitable for customer-facing use.
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Launch a customer-facing AI chatbot for real users, real traffic, and real expectations, not an internal demo
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Skip exploratory architecture work and reduce time-to-market for AI features by months
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De-risk RAG architecture decisions and avoid common failure modes around retrieval quality, hallucinations, and data leakage
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Leverage existing data investments and build directly on your current data lake and warehouse instead of re-platforming
How Transcenda delivers
Structure and deliverables
- Data source assessment and opportunity analysis
- Architecture design for chatbot with retrieval augmented generation (RAG)
- Prototype of natural-language querying over selected datasets
- Integration with existing data warehouse / lake
- Governance, security, and scalability recommendations
How to start
Request a 20 minute private architecture review from our VP of engineering
