Back to the registry
Agent passport

Next-Generation Support: Custom RAG Chatbots on AWS

Lambert Labs · Customer Service

No attestation published

Certification per AWS Marketplace.

Provenance reach3 of 12 layers traced

Evidence tier Source Confirmed · 4 captures on record

User ratingNot rated0 reviews on the listing
Runs onUnknownProfessional service
ProvenanceUnknown33% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on AWS Marketplace.

Organizations face an overwhelming volume of routine inquiries, but a bespoke AI assistant acts as a digital front door, instantly answering questions so your team does not have to. Our offering delivers a GenAI chatbot on AWS to provide 24/7 support.

Standard AI models are built on generalized knowledge and may not know your organization's specific procedures. Retrieval-Augmented Generation (RAG) is the architecture that improves the accuracy of AI. RAG connects powerful AWS generative models directly to your specific knowledge base. Through targeted retrieval, the system searches only your approved documents when a question is asked. Using Amazon Bedrock, the AI reads that specific data and writes a clear, conversational answer, complete with a direct link back to the source document.

Show the rest of the publisher’s description (4 more lines)
  • Reduce Operational Costs: Intelligently deflect high volumes of routine inquiries and drastically lower call volume.
  • Policy-Backed Accuracy: We lock the AI down so it only generates answers based on your official guidelines.
  • Zero-Wait Resolutions: Give users the answers they need instantly, 24/7, with no waiting on hold or navigating confusing website structures.
  • Inclusive Digital Services: Our chatbots give answers in plain English and provide an intuitive interface for all digital skill levels.

Highlights

Highlighted by the publisher on AWS Marketplace.

Zero-Wait Resolutions & Intuitive Interface: Give users the answers they need instantly, 24/7, with no waiting on hold. Our chatbots give answers in plain English and provide an intuitive interface for all digital skill levels.

Policy-Backed Accuracy via RAG & Amazon Bedrock: RAG is the architecture that improves the accuracy of AI by connecting models directly to your specific knowledge base. The system searches only your approved documents to write a clear, conversational answer, complete with a direct link back to the source document.

Reduce Operation Costs: Deploy a bespoke GenAI chatbot to intelligently deflect high volumes of routine inquiries and drastically lower call volume. We will build you a no-cost, no-commitment proof of concept and then help you deploy it to your customers.

Agent build and provenance

See the full provenance

The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.

Sources

Marketplace listingaws.amazon.comSource
App certificationaws.amazon.comSource

Linked repositories

RepositoriesUnknownUnknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Unknown
Not stated
Delivery
Professional service
We offer everything from a hands-off approach to a fully managed service where we handle maintaining and operating your solution day to day. Contact sales@lambertlabs.com for more information.
Open the source listing ↗

Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.