Get a bespoke AI chatbot trained on your documents using OpenAI, LangChain and Pinecone — built by a London-based LLM specialist to enhance customer engagement and automate answers 24/7.
I Will Build a Custom AI Chatbot Powered by Your Own Documents
A focused 40-minute consultation to discuss your chatbot needs and explore the right custom solution.
- 40-minute one-to-one consultation session
- Discussion of your documents, use case and business requirements
- Expert guidance on LLM app architecture (OpenAI, LangChain, Pinecone)
- Exploration of a tailored chatbot solution for your project
- Delivered within 3 days of booking
Custom AI chatbot built on your documents — the Boost tier with full development and two rounds of revisions.
- Everything in the Consultation tier
- Full bespoke chatbot development using OpenAI API, LangChain and Pinecone
- Chatbot trained on your own documents and content
- 2 rounds of revisions to refine the output
- Delivered within 10 days
- Scalable, 24/7-available chatbot solution
The most comprehensive build — full-scope custom AI chatbot with expanded delivery time and three revision rounds.
- Everything in the Boost Build tier
- Extended development scope for more complex requirements
- 3 rounds of revisions for thorough refinement
- Greater complexity in document ingestion and chatbot behaviour
- Delivered within 14 days
- Production-ready LLM application built to your business specifications
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Full Description
Imagine your customers getting instant, accurate answers to their questions at any hour — without a single human agent involved. That is exactly what a custom document-trained AI chatbot delivers, and it is what Zinn Digital builds for businesses that are ready to work smarter.
Based in London, England, Zinn Digital specialises in developing bespoke LLM applications using the OpenAI API, LangChain, and Pinecone vector database. Whether you need a chatbot that answers questions from your product documentation, internal knowledge base, legal FAQs, or company policies, the solution is engineered around your specific content and business requirements — not a generic off-the-shelf tool.
**What Makes a Document-Trained Chatbot Valuable?**
Unlike standard chatbots that follow rigid scripts, a retrieval-augmented generation (RAG) chatbot reads and reasons over your own documents. It surfaces relevant information, handles nuanced questions, and scales effortlessly as your content grows. It is available 24/7, reduces the burden on your support team, and creates a consistent, professional experience for every user.
**How It Works**
Every project begins with a structured consultation. You will discuss your use case, the documents you want the chatbot to be trained on, your technical environment, and the outcomes you are aiming for. From there, the scope is clearly defined before any development begins — ensuring the solution built is the one you actually need.
The development tiers escalate from an initial consultation through to a fully built Boost or Premium chatbot application, with increasing delivery time and revision allowances reflecting the additional scope and complexity of each stage.
**Who This Is For**
This service suits business owners, product teams, startups, and enterprises who want to deploy an intelligent chatbot on their website, internal tool, or application — and who want it built properly, by an experienced developer with deep expertise in LLM application architecture.
**Core Technologies**
OpenAI API (including GPT models), LangChain for orchestration, and Pinecone for vector storage sit at the heart of every build. This stack is proven, scalable, and production-ready.
Important: please reach out via order chat before placing a Boost or Premium order to align on project scope. The entry tier is a dedicated consultation session to do exactly that.
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Compare Packages
| Feature | Consultation | Boost Build | Premium Build |
|---|---|---|---|
| Delivery Time | 3 days | 10 days | 14 days |
| Revisions | 0 | 2 | 3 |
| 40-minute one-to-one consultation session | ✓ | ✕ | ✕ |
| Discussion of your documents, use case and business requirements | ✓ | ✕ | ✕ |
| Expert guidance on LLM app architecture (OpenAI, LangChain, Pinecone) | ✓ | ✕ | ✕ |
| Exploration of a tailored chatbot solution for your project | ✓ | ✕ | ✕ |
| Delivered within 3 days of booking | ✓ | ✕ | ✕ |
| Everything in the Consultation tier | ✕ | ✓ | ✕ |
| Full bespoke chatbot development using OpenAI API, LangChain and Pinecone | ✕ | ✓ | ✕ |
| Chatbot trained on your own documents and content | ✕ | ✓ | ✕ |
| 2 rounds of revisions to refine the output | ✕ | ✓ | ✕ |
| Delivered within 10 days | ✕ | ✓ | ✕ |
| Scalable, 24/7-available chatbot solution | ✕ | ✓ | ✕ |
| Everything in the Boost Build tier | ✕ | ✕ | ✓ |
| Extended development scope for more complex requirements | ✕ | ✕ | ✓ |
| 3 rounds of revisions for thorough refinement | ✕ | ✕ | ✓ |
| Greater complexity in document ingestion and chatbot behaviour | ✕ | ✕ | ✓ |
| Delivered within 14 days | ✕ | ✕ | ✓ |
| Production-ready LLM application built to your business specifications | ✕ | ✕ | ✓ |
Portfolio
Examples of the seller's work related to this Zinn.
Build a Custom AI Chatbot Powered by Your Own Documents
Build a Custom AI Chatbot Powered by Your Own Documents
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Frequently Asked Questions
For the Boost or Premium build tiers, yes — it is strongly recommended that you reach out via order chat before purchasing so we can align on your project scope, document types, and technical requirements. The Consultation tier is a great starting point if you are not yet sure which tier is right for you.
The chatbot can be trained on a wide range of document types — product documentation, knowledge bases, FAQs, policy documents, manuals, and more. The specifics will be discussed during the consultation to ensure the right approach for your content.
You will need to share the documents or content you want the chatbot trained on, along with details about your use case, target users, and any technical environment considerations (such as the platform or application it will be embedded in). The more context you provide, the better the result.
The core stack is OpenAI API (GPT models), LangChain for orchestration and retrieval logic, and Pinecone as the vector database for storing and querying your document embeddings. This is a proven, production-ready combination for document-trained chatbot applications.
Revisions apply to the development output and allow you to request changes or refinements once you have reviewed the delivered chatbot. The number of included revisions depends on your chosen tier (0 for Consultation, 2 for Boost, 3 for Premium). Revision requests outside the included allowance can be discussed via order chat.
The chatbot is built to be available around the clock once deployed. Ongoing hosting, API costs, and infrastructure are separate from this service and will be clarified during the consultation so you understand what is needed to keep it running.
Integration requirements and technical environment will be discussed during the consultation or scoping stage. The solution is tailored to your business, so deployment context is an important part of the brief.
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