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★★★★★ 4.9
Clutch·GoodFirms·DesignRush
Top-rated AI dev agency
  • 500Projects delivered
  • 200Happy clients
  • 10–20×Faster delivery
  • 2015Building since
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AI That Knows Your Business Inside Out

AI that knows YOUR business inside out: Customer support AI that answers product questions from your actual documentation, Sales AI that knows your pricing and case studies and competitor differentiators, Legal AI that searches your contract library and finds specific clauses in seconds, Employee AI that answers HR questions and finds company policies instantly, Every answer cites the specific source document so your team can verify, No hallucination because answers come only from your documents not the internet

Vector Search & Embeddings

We design the embedding + vector-store layer: model selection (OpenAI, Cohere, open-source), chunking strategy, and index tuning on pgvector, Pinecone, Weaviate or Chroma for fast, accurate retrieval at scale.

Hybrid Retrieval & Reranking

Pure vector search misses keyword-exact matches. We build hybrid (dense + sparse/BM25) retrieval with cross-encoder reranking so the most relevant context reaches the model - measurably lifting answer accuracy.

Grounding & Citation Systems

We engineer grounding so every answer cites its source passages and refuses when context is missing - the single biggest lever against hallucination in production RAG.

RAG Evaluation & Monitoring

You cannot ship what you cannot measure. We build evaluation harnesses (retrieval recall, faithfulness, answer relevance) plus production dashboards tracking accuracy, latency, and cost over time.

Agentic & Multi-Step RAG

Beyond single-shot retrieval: query decomposition, multi-hop retrieval, and tool-using agents that plan, retrieve, and synthesize across many sources. Built with LangChain, LlamaIndex, and custom orchestration.

RAG MVP & Prototype

Validate a RAG use case in 2-4 weeks with a working pipeline on your real data - retrieval, grounding, and a measurable accuracy baseline you can test before committing to full build.

AI-POWERED RAG SYSTEM DEVELOPMENT

Supercharge Your RAG System with AI Engineers

Join 500+ companies saving 60% on development. Get senior-level engineering at a fraction of the cost with 3x faster delivery.

Save 60%
On development costs
3x Faster
Delivery with AI
24-48h
To start working
1-week risk-free · No long-term commitment · Cancel anytime

Benefits of RAG System Development Development

Answers Grounded in Your Data

Every RAG system we ship answers from your sources with citations and declines gracefully when it lacks context - so users get trustworthy answers, not confident fabrications.

Accuracy You Can Measure

We build an evaluation harness from day one - retrieval recall, faithfulness, and answer relevance scored against ground truth - so quality is a number on a dashboard, not a hope.

10-20X Faster Delivery

Our AI-first engineers use AI agents for coding, evaluation, and deployment. Production RAG pipelines that take traditional teams a quarter, we ship in weeks.

Vendor-Neutral Stack

pgvector, Pinecone, Weaviate, Chroma; OpenAI, Cohere, or open-source embeddings - we pick what fits your data, latency, and budget. No lock-in to a tool we happen to resell.

Cost & Latency Optimized

We tune chunking, caching, and retrieval depth to hold latency and token cost down at scale - production RAG that stays affordable as query volume grows.

Post-Launch Tuning Included

90 days of free post-launch support - re-indexing, retrieval tuning, and evaluation review - because RAG quality drifts as your data and queries evolve.

Reasons our Clients Prefer Us as RAG System Development Company

RAG System Expertise

Groovy has invested immensely in RAG System team expansion and has a well-established team of RAG System experts.

Cost Effective Partners

Groovy provides cost-effective solutions, which makes us the partner of your choice.

Agile Development & On-Time Delivery

Our modern Agile approach to project management allows us to deliver on time with quality.

Easy and Regular Communication

We use the communication channel that our client prefers, making it easy for our clients to communicate.

Free Post development Support

Our clients can focus on marketing as we hold their back by providing free and best post-development support.

Starts at $18/H

Our hourly rates for dedicated resources start at $18 / Hour, which are the most competitive in the market.

Our Process

How We Deliver Your RAG System Project

01

Discovery & Strategy

AI agents analyze requirements and market data to build a precise blueprint.

1-3 Days
02

Architecture & Design

AI-first system design with UI/UX prototypes and technical planning.

3-5 Days
03

AI Sprint Build

6 AI specialists work in parallel at 10-20X velocity with continuous integration.

1-4 Weeks
04

QA & Launch

Automated testing validates every component. Zero-downtime deployment from day one.

2-3 Days
05

Iterate & Scale

AI agents monitor, optimize, and ship improvements. Evolve faster than competition.

Ongoing

Our Technology Stack

Python, LangChain, LlamaIndex, pgvector, Pinecone, Chroma, OpenAI, Claude, AWS, Azure

Industries We Have Worked With

As an award-winning mobile app development company, we handcraft full-stack app development solutions to clients worldwide. We deliver only the best mobile apps from various sectors like eCommerce, IT, Sports, Healthcare, Fitness, Education, etc. We use advanced technologies and follow modern trends to build a great mobile app that meets your expectations. Groovy Web is recognized as a top-rated app development company and a top custom software development company on reputed platforms like Clutch, GoodFirms, DesignRush, and Business of Apps.

Job

Sports

IT

Business

Oil and Natural Gas

Education

Healthcare

Fitness

Shopping

E-Commerce

FAQ

Frequently Asked Questions

RAG (Retrieval-Augmented Generation) is an AI architecture that connects large language models to your company data. Instead of relying on generic training data, a RAG system retrieves relevant information from your documents, databases, and knowledge bases before generating answers. This means accurate, source-cited responses specific to your business.
A basic RAG system for document Q&A costs $15,000-$40,000. Enterprise RAG with multiple data sources, access controls, and production monitoring runs $40,000-$100,000. The main cost drivers are: number of data sources, document volume, accuracy requirements, and security/compliance needs.
It depends on your scale and requirements. pgvector is best if you already use PostgreSQL and need ACID transactions. Pinecone is best for fully managed, auto-scaling deployments. Chroma is great for prototyping and small datasets. Weaviate excels at hybrid search. We help you choose and can migrate between them.
Production RAG systems we build achieve 90-97% accuracy with proper chunking strategies, embedding models, and retrieval optimization. We use evaluation frameworks to measure accuracy continuously and improve it over time. The key is iterative refinement — a well-tuned RAG system outperforms fine-tuned models for most enterprise use cases.
Yes. RAG systems can ingest PDFs, Word docs, spreadsheets, emails, Confluence pages, Notion databases, SharePoint files, Slack messages, and virtually any text-based content. We build custom ingestion pipelines that handle your specific document formats and update automatically as new content is added.
Use RAG when you need answers from specific, frequently updated documents (knowledge bases, policies, product docs). Use fine-tuning when you need the model to learn a specific style, format, or domain expertise. Most enterprise use cases are better served by RAG because your data changes regularly and RAG updates instantly without retraining.
AI-First Engineering

Build 10-20x Faster with AI-First Engineers

Why hire 8 specialists when 1 AI-First Engineer can deliver the same output? Our engineers use AI agents for coding, testing, DevOps, and deployment — all from day one.

Plan
Product strategy, requirements, roadmap
Build
Design, frontend, backend, APIs
Deploy
QA, CI/CD, monitoring, launch
Grow
Analytics, optimization, scale
Full-Stack AI Development
Frontend, backend, APIs, databases — all AI-augmented
AI Agent Orchestration
6+ specialized AI agents working in parallel
10-20X Velocity
Ship in weeks what takes others months
Starting price Custom/hr
Hire AI-First Engineer

Flexible engagement models — monthly, quarterly, or annual commitments

Are you looking for a RAG System developer?

We have highly experienced and qualified RAG System developers in our house to take care of your ideas. Click the button below and fill out your details for us to reach you. We would love to chat with you.

Why Groovy?

500+

Project Delivered

250+

Happy Clients

99%

Client Satisfaction Rate

50%

Recurring Clients

150%

Average Company Growth

40+

5 Star Ratings on Clutch.co

100+

In-House Talent
RAG System Developer
RAG System Developer
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