Internal knowledge systems
Turn scattered institutional knowledge into a queryable layer with traceable sources.
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+ RAG PIPELINE DEVELOPMENT
Make your documents, data, and knowledge queryable with AI
We build retrieval-augmented generation systems that return grounded, accurate, and traceable answers from your proprietary data.
+ WHAT IS RAG
AI that works with your data, not just what it was trained on
RAG is the architecture that makes AI useful for private and domain-specific knowledge by retrieving relevant context from your own sources at query time.
- Document ingestion from files, web content, databases, and internal tools
- Chunking and preprocessing for retrieval quality
- Embedding and vector storage
- Hybrid retrieval with reranking and metadata filters
- LLM answer generation with source citation
- Evaluation of retrieval and answer accuracy before launch
+ USE CASES
Where RAG creates the most leverage
Customer support
Ground support responses on your docs and ticket history for reliable tier-1 automation.
Research and analysis
Query large corpora with natural language and receive answers with source attribution.
Product documentation
Enable conversational access to docs to reduce support load and improve activation.
Compliance and due diligence
Surface relevant clauses and precedents quickly with accurate retrieval and references.
+ PROCESS
From kickoff to production in 4 weeks
Every AI Sprint follows the same structured process. No scope creep, no surprises, no handoff without documentation.
Week 1
KICKOFF + ARCHITECTURE
We lock the scope, decide the stack, and agree on success criteria. You know exactly what you are getting before a single line of code is written.
Weeks 2-3
BUILD + INTEGRATION
We build your AI system and integrate it into your existing product or workflow. Internal QA throughout. Weekly progress updates so you are never in the dark.
Week 4
DEPLOY + DOCUMENT + HANDOVER
Your system goes live in production. We deliver full technical documentation, an architecture diagram, and a 1-hour code walkthrough with your team. You own everything.
Weeks 5-6
POST-LAUNCH SUPPORT (INCLUDED)
Two weeks of async support via Slack. Bug fixes, environment issues, minor adjustments, all included. You are never left alone after launch.
+ PRICING
Transparent pricing. No surprises.
Fixed scope, fixed price. You know exactly what you pay and what you get.
Delivery guarantee: if we miss the 4-week deadline, the final week is free
We lock scope at kickoff and control the timeline. If we miss the deadline for any reason on our side, you get the final week of work at no cost. No questions asked.
+ FAQs
Questions? Answers.
+ Related Services
Explore related capabilities
+ Related Case Studies
See production outcomes
Endesa SOI
RAG BASED KNOWLEDGE MANAGEMENT SYSTEM
Next.jsReact.jsTypescriptSupabaseShadcn UIVercel AI SDKVercel AI ElementsRetrieval Augmented Generation
Your data knows more than your team can access. Change that.
Book a 30-minute call. We scope your retrieval system, architecture, and delivery plan.