I will setup langchain ai agent development n8n sales qdrant support agent pricing bot


About this gig
I will handle your AI agent development for real-time, production-ready customer answers and accurate pricing grounded, source-cited, and built to scale as your business grows.
WHAT YOU GET
- A website AI chatbot that answers product, capability & pricing questions in real time using YOUR pricing rules, no guesses.
- An internal AI knowledge agent trained on your business that helps staff answer questions, draft and improve customer communications, and work more efficiently
- LangChain + OpenAI/Claude architecture built to keep expanding its knowledge after launch, not a one-and-done build
- Grounded, source-cited responses so a customer-facing price is never a hallucination
- Optional configurable pricing logic for accurate quotes every time
Built with: LangChain, OpenAI API, Claude, Python, RAG, Pinecone/pgvector vector database, qdrant, llamaindex, gpt5.5, claude code, ollama, Fin AI, Flowise, Zendesk, Paperclip, vps deployment, self hosting, openclaw, lightgraph
Most "AI chatbot" gigs on Fiverr are generic FAQ bots. This one is built for businesses with real pricing rules and configurable products.
Envoyez-moi un message and I'll map your build today!
Get to know Ruest Wisdom
AI Voice Agent Engineer, Business Automation, n8n AI systems, ChatDash, Retell
- FromFrance
- Member sinceAug 2026
- Avg. response time1 hour
Languages
English, French, Dutch
FAQ
Will the pricing the AI agent quotes actually match our real pricing rules?
Yes. Every pricing answer is grounded in the exact pricing rules and product data you provide, using retrieval-augmented generation (RAG) so the agent quotes from your real rate structure instead of guessing at a number, which matters most for configurable, made-to-order pricing.
Can the internal agent help staff without exposing anything to customers?
Yes. The internal AI agent is trained separately on your products, processes and communication style, so it drafts and improves customer emails and answers staff questions directly, without exposing internal-only information to website visitors browsing your public site.
Can the agent keep learning after launch, like we asked for?
Yes, and this is built into the architecture from day one, not bolted on later. As you add products, pricing tiers or new documentation, I update the knowledge base so both agents keep getting more accurate instead of going stale after your initial launch and rollout.
Is this using outdated chatbot tech, or something closer to current best practice?
This build uses LangGraph-style agent orchestration on top of LangChain, so it's ready for the same production patterns manufacturers are adopting in 2026 for configure-price-quote (CPQ) style AI agents, not a one-off prompt wrapper stitched together quickly.
We're not a packaging company :: can this work for our custom-quote business?
Yes. The same core system adapts to any business with configurable, made-to-order pricing, including sign shops, promotional product sellers, custom apparel decorators, furniture makers and other B2B manufacturers running rules-based, quote-driven sales processes.

