Overview
Bring conversational AI to life with our AWS GenAI LLM RAG PoC‑Chatbot template. Based on AWS reference architecture and binbash expertise, this ready-made proof‑of‑concept delivers the essentials:
easy deployment via AWS Bedrock and vector database
retrieval‑augmented generation enabling context-aware chatbot responses
end-to-end infrastructure including ingestion pipelines, indexing, and prompt flow logic
Designed for quick validation, this PoC template empowers startups and teams to test real‑world use cases, iterate models, and gather feedback—all within AWS. The detailed reference architecture and clear instructions help accelerate experimentation and bridge to full production.
Whether you're exploring internal knowledge bots, customer support assistants, or document search interfaces, this proven foundation gives you a jump‑start with IaC, AWS best practices, and GenAI capabilities.
Highlights
- Ready-to-use PoC: Deploy AWS Bedrock LLM + vector index with IaC and detailed walkthrough.
- Retrieval‑Augmented: Combines embeddings + RAG for smarter, context‑aware conversational responses.
- Production-ready foundation: Includes ingestion, indexing, prompt management, and deployment scaffolding.
Details
Unlock automation with AI agent solutions

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