RAG (Retrieval-Augmented Generation) Development
LLM answers grounded in YOUR data, with citations. No hallucinations, no generic responses.
What is Dictode's RAG (Retrieval-Augmented Generation) Development service?
LLM answers grounded in YOUR data, with citations. No hallucinations, no generic responses.Production-grade RAG pipelines that ground LLMs in your private documents, databases and knowledge bases — accurate, citation-backed and hallucination-resistant. Engagements include discovery, architecture, development, testing, deployment, observability and ongoing optimization. Typical timeline: 3–6 weeks for an MVP RAG, 8–14 weeks for permission-aware enterprise RAG. Available worldwide in 60+ countries, billed in any major currency, with 24/7 follow-the-sun support.
Who Needs RAG (Retrieval-Augmented Generation) Development
If any of these sound like your team, this is the right service.
What You Get With RAG (Retrieval-Augmented Generation) Development
Multi-source ingestion (PDFs, Word, Confluence, Notion, SharePoint, S3, databases)
Smart chunking + embedding strategies
Hybrid search (semantic + keyword + reranker)
Citation generation with source links
Permission-aware retrieval (only show what user can see)
Eval framework to measure accuracy + recall
Built On Production-Hardened Tech
The exact tooling we use to deliver RAG (Retrieval-Augmented Generation) Development — picked for stability, not novelty.
The RAG Pipelines Engagement Process
From first conversation to live production, here is how a Dictode RAG (Retrieval-Augmented Generation) Development project runs.
Discovery call
30-minute free call to understand your goals, current systems and constraints. No sales pitch.
Proposal in 24h
Written scope, milestones, timeline and pricing — fixed-price or T&M, your choice.
Architecture + design
We share the architecture, prompts, data flow and design system before writing production code.
Iterative delivery
Weekly working demos. Production-ready code from sprint one, not just at the end.
Launch + observability
Cost monitoring, error tracking, evals and alerts in place from day one of production.
Ongoing optimization
We stay with you — tuning prompts, adding capabilities, optimizing costs as usage grows.
RAG (Retrieval-Augmented Generation) Development — Frequently Asked Questions
What is included in Dictode's RAG (Retrieval-Augmented Generation) Development service?
Production-grade RAG pipelines that ground LLMs in your private documents, databases and knowledge bases — accurate, citation-backed and hallucination-resistant. Engagements include discovery, architecture, development, testing, deployment, observability and ongoing optimization.
How long does a RAG (Retrieval-Augmented Generation) Development engagement take?
3–6 weeks for an MVP RAG, 8–14 weeks for permission-aware enterprise RAG. You will get a transparent proposal with milestones and pricing within 24 hours of your discovery call.
Which technologies does Dictode use for RAG (Retrieval-Augmented Generation) Development?
Our RAG (Retrieval-Augmented Generation) Development stack includes Pinecone, Weaviate, pgvector / Qdrant, LangChain / LlamaIndex, OpenAI / Cohere embeddings, Anthropic Claude, Reranker models (Cohere, Voyage). We pick the right tool for your use case, not whatever is trending.
Does Dictode offer RAG (Retrieval-Augmented Generation) Development services globally?
Yes. Dictode delivers RAG (Retrieval-Augmented Generation) Development engagements in 60+ countries across North America, Europe, the UK, the Middle East, Africa, APAC, ANZ, India and Latin America. We bill in any major currency and run 24/7 follow-the-sun support.
What does RAG (Retrieval-Augmented Generation) Development cost?
Pricing depends on scope, integrations and the model / infrastructure you choose. We share a transparent fixed-price or T&M proposal within 24 hours of your discovery call — no hidden costs, no surprise invoices.
Can RAG (Retrieval-Augmented Generation) Development integrate with our existing systems?
Yes. Our RAG (Retrieval-Augmented Generation) Development engagements integrate with your existing CRM, ERP, helpdesk, knowledge base, databases, email, Slack, Teams, WhatsApp and 5,000+ apps via REST, GraphQL and Zapier / Make / n8n connectors.
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Ready to ship RAG Pipelines?
Free 30-minute discovery call. Written proposal in 24 hours. Production-grade code, every time.
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