AI RAG Integration Services
Connect AI with your company knowledge to deliver smarter, more reliable answers—fast, secure, and tailored to your business.
Supercharge Your AI with RAG (Retrieval-Augmented Generation)
Most AI tools rely on general knowledge. But what if your AI could respond with your data—documents, wikis, policies, product specs, internal SOPs? With RAG (Retrieval-Augmented Generation) integration, we make that happen.
At Further Forward, we help UK startups and SMEs build RAG-powered tools that bring your own content into the conversation—securely and contextually—so you get relevant, trusted answers from your AI every time.
What’s Included in Our AI RAG Integration Service
Custom Data Pipeline Setup
We create structured data pipelines to feed PDFs, Notion pages, Google Docs, and other content into your RAG system—cleaned, chunked, and indexed.
Vector Database Integration
We integrate vector databases like Pinecone, Weaviate, Qdrant or open-source alternatives to enable fast, accurate document retrieval across your knowledge base.
LLM + RAG App Development
We connect RAG pipelines to large language models (like GPT-4o, Claude, or open-source models) through a custom or embedded interface—web apps, internal tools, or chatbots.
Secure & Scalable Deployment
All your data is handled securely, with full control over storage and access. We deploy to your cloud, on-prem, or private environments as needed.
Built for Growing Teams That Need Smarter AI
From SaaS dashboards to support tools and internal documentation assistants, RAG can make AI actually useful to your team and your customers. No hallucination. No fluff. Just answers based on your own source of truth.