Retrieval-augmented generation (RAG) lets an LLM answer from your documents, databases and tickets instead of guessing. Next Olive designs and builds RAG systems for internal knowledge assistants, customer support, document search and analytics — with the evaluation, security and monitoring that separate a demo from a product.
What we deliver
- Ingestion pipelines for PDFs, wikis, tickets, databases and APIs
- Chunking, embeddings and hybrid search (vector + keyword)
- Vector stores: pgvector, Pinecone, Weaviate, Qdrant, OpenSearch
- LLM orchestration with citations, guardrails and tool use
- Evaluation sets, hallucination checks and feedback loops
- Role-based access so answers respect document permissions
Why Next Olive
- Accurate answers with sources your team can verify
- Works with OpenAI, Anthropic, Gemini or open-source models
- Enterprise data stays in your cloud or on-premise
- Measured quality — not just a demo that looks good
Typical RAG products we build
Internal knowledge assistants for HR, legal and engineering; customer support copilots that draft replies from past tickets; document Q&A for contracts and compliance; and analytics assistants that translate questions into SQL over your warehouse.
Retrieval quality is the product
Most RAG failures are retrieval failures. We tune chunking, metadata, hybrid search and re-ranking against a golden question set, and report precision and answer accuracy before launch.
Production-ready from the start
Access control, PII redaction, prompt-injection defences, cost controls, caching, observability and a feedback loop so the system improves from real usage.
Our delivery process
- Discovery: We map goals, users, integrations, and success metrics in a focused workshop.
- Architecture: Solution design, milestone plan, and transparent estimate with clear assumptions.
- Design: UX flows and prototypes validate the experience before full build.
- Agile delivery: Two-week sprints with staging demos and visible backlog progress.
- QA & launch: Testing, UAT, production deployment, documentation, and optional SLA support.
- 2011Founded — 15 years shipping software
- 2000+Products delivered
- 100+Engineers, designers and QA
- 25+Countries served
RAG Development Services work we have shipped
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Discuss your RAG Development Services projectIndustries we build rag development services for
Every vertical has its own workflows, integrations and compliance. These are the ones we ship for most often.
- Healthcare
- Telemedicine
- Fintech & banking
- Crypto & trading
- eCommerce & retail
- Food delivery
- On-demand services
- Mobility & taxi
- Logistics & supply chain
- Travel & hospitality
- Real estate
- Education & eLearning
- Social & community
- Fantasy sports
- Sports betting
- Casino & card games
- IoT & smart devices
- Manufacturing & ERP
- Hospitals & clinics
- Startups
- All industries →
Technology stack for rag development services
- Mobile
- Swift · Kotlin · Flutter · React Native
- Web
- React · Next.js · Angular · Vue.js · TypeScript
- Backend
- Node.js · Python / Django · .NET Core · Laravel · Java Spring Boot
- AI & data
- LLM apps & RAG · LangChain · TensorFlow · PyTorch · OpenCV
- Databases
- PostgreSQL · MySQL · MongoDB · Redis · Elasticsearch
- Cloud & DevOps
- AWS · Azure · Google Cloud · Docker · Kubernetes · GitHub Actions
How we work with you
- Mutual NDA before discovery
- You own the source code and IP
- GDPR- and HIPAA-aware engineering practices
- Milestone-based billing with sprint demos
- Dedicated project manager in US/UK-friendly hours
- Post-launch support and AMC plans
RAG Development Services cost: indicative ranges
Budgets below are typical for projects we deliver from India with US/UK-facing project management — usually 40–60% below onshore-only agencies. Your fixed-price quote follows a short discovery.
| Engagement | Typical budget | Timeline | What is included |
|---|---|---|---|
| Discovery & clickable prototype | $3,000 – $8,000 | 2–4 weeks | Workshops, user flows, UI prototype, technical plan and fixed-price proposal |
| MVP | $15,000 – $40,000 | 8–14 weeks | Core features, admin panel, one platform or cross-platform build, QA and launch |
| Growth product | $40,000 – $120,000 | 3–6 months | Multi-role apps, integrations, analytics, AI features, scalable cloud architecture |
| Enterprise platform | $120,000+ | 6+ months | Complex workflows, legacy integration, compliance, dedicated squad and SLAs |
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