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Custom ChatGPT & LLM Solutions

We build business-specific AI assistants powered by large language models and retrieval-augmented generation (RAG), so answers come from your own approved knowledge.

Overview

Understanding custom LLM solutions

A large language model on its own doesn't know your policies, products or documents. Retrieval-augmented generation (RAG) finds the relevant information from your knowledge base and gives it to the model, so answers are grounded and can cite sources.

We design the knowledge pipeline, permissions, prompts and evaluation together. Custom solutions are built on models from providers like OpenAI or Anthropic; they are not official products of those companies.

What's included

What our Custom LLM & RAG Solutions service includes

Knowledge base preparation

Cleaning, structuring and chunking documents for reliable retrieval.

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Benefits

What Custom LLM & RAG Solutions brings to your business

Every engagement is shaped around your goals. These are the outcomes we design for from day one.

01

Answers from your data

Responses grounded in your approved documents.

02

Source citations

Users can check where an answer came from.

03

Respects permissions

Sensitive content stays with authorised people.

04

Predictable costs

Usage monitored and model choice optimised.

Contact us

Plan your Custom LLM & RAG Solutions project

Tell us what you're trying to achieve. We'll recommend an approach, outline the scope and explain the trade-offs, with no obligation.

How we work

Our AI & Automation process

A clear sequence from first conversation to measurable results, scaled to the size of your project.

  1. 1

    Use-case fit

    We confirm the problem, the users and whether AI or simple automation is the right tool.

  2. 2

    Data & design

    We review the data, integrations, permissions and how errors will be handled.

  3. 3

    Prototype & evaluate

    A working prototype tested against real examples, edge cases and quality targets.

  4. 4

    Integrate & secure

    Connected to your systems with access controls, cost limits and human handoff.

  5. 5

    Monitor & improve

    Ongoing tracking of quality, cost and usage, with regular improvements.

Our advantage

Why AgenCoder

One integrated team

Strategy, design, engineering, AI and marketing work together, so nothing gets lost between agencies.

Transparent delivery

Written scope, assumptions and exclusions, regular demos and honest updates when something changes.

Secure and maintainable

Secure defaults, tested releases and documentation, so your solution keeps working long after launch.

Custom LLM & RAG Solutions FAQ

Frequently asked questions

Can't find what you're looking for? Ask us directly.

  • RAG retrieves up-to-date information at question time and is usually best for knowledge assistants. Fine-tuning changes a model's behaviour or style. Many projects need only RAG.

Contact

Tell us about your challenge

Share what you're working on. We'll tell you honestly how we'd approach it, and whether we're the right fit.

What happens next

  1. 1We read your message and reply with any quick questions.
  2. 2A short discovery call to understand your goals.
  3. 3A written proposal with scope, timeline and estimate.