RAG ACCELERATOR_
Service · Discovery to Production
RAG development services that go live in 4 to 8 weeks.
For teams that need AI to answer questions accurately from their own documents, databases, and knowledge assets.
Engagement: $25K to $150K
Duration: 4 to 8 weeks
Team: 1 lead AI engineer + 1 data engineer + 1 solutions architect
Output: Production-grade RAG system
RAG Application Development Services
YOUR DATA.
YOUR ANSWERS.
ZERO HALLUCINATIONS.
Most AI systems make things up. Our RAG development services build retrieval-augmented generation systems that answer questions by dynamically retrieving verified content from your own documents and knowledge bases.
4 to 8 weeks
Time to production RAG
From data audit to go-live
95%+
Out-of-box retrieval accuracy
On structured document sets
$25K
Starting engagement cost
Fixed-fee, no surprises
0
Hallucinations on grounded queries
Source-cited answers only
Four to eight weeks · Four phases
THE METHOD
Our custom RAG development services follow four sequential phases. Each phase produces a tangible output.
Phase 01 · 2 WEEKS
Data Audit and Ingestion
We audit your existing documents, databases, and knowledge assets.
Document and data source audit
Chunking strategy design
Embedding model selection
Ingestion pipeline build
Phase 02 · 2 WEEKS
Vector Database and Retrieval Design
We deploy vector storage and optimize retrieval with hybrid search, reranking, and metadata filtering.
Vector database deployment
Hybrid search configuration
Reranking and metadata filtering
Retrieval quality benchmarking
Phase 03 · 2 WEEKS
LLM Integration and Tuning
We connect retrieval to your LLM backbone and benchmark hallucination rates before go-live.
LLM backbone integration
Prompt engineering and testing
Response quality tuning
Hallucination rate benchmarking
Phase 04 · 1 to 2 WEEKS
Deployment and Handover
We deploy the UI/API layer, set permissions, configure monitoring, and train your team.
UI or API deployment
Access controls and permissions
Monitoring and alerting setup
Team training and documentation
Six deliverables
WHAT YOU TAKE HOME
01 -
Production RAG System
02 -
Ingestion and Refresh Pipeline
03 -
Retrieval Quality Report
04 -
Prompt and Configuration Library
05 -
Monitoring Dashboard
06 -
Handover Documentation and Training
Beyond standard RAG
ADVANCED RAG OPTIONS
Agentic RAG
The AI agent decides which sources to query and in what sequence for multi-step answers.
Multi-Modal RAG
Retrieval across text, tables, images, and PDFs in one query.
Conversational Memory RAG
Context retention across multi-turn conversations for reliable follow-up handling.
Auto-Refresh Pipelines
New documents are detected, processed, and indexed automatically with no manual work.
What clients say
TRUSTED BY TEAMS THAT SHIP
"alien.fi's RAG development services turned our archive into a live, accurate Q and A system our team uses daily." -- Head of Legal Operations, Regional Insurance Company
"By week eight we had a production system handling 400 queries per day with source-cited answers." -- VP of Operations, Mid-Market Healthcare Provider
"alien.fi was the only team that benchmarked hallucination rates before go-live and built auto-refresh." -- CTO, Financial Services Technology Company
Built for your industry
WHERE RAG WORKS
Legal
Case law and contract retrieval
60 to 70% faster research
Healthcare
Clinical guideline and protocol lookup
Accurate, cited recommendations
Financial Services
Regulatory document search and compliance QA
Audit-ready answers
Retail
Product catalog and policy knowledge bases
Instant accurate responses
Internal Enterprise
HR policy, IT helpdesk, employee handbook
Reduced support ticket volume
Got questions
FAQS