Internal knowledge chatbot
Slack/Teams bot that answers from your SOPs, wikis, and Drive — with citations.
RAG development
RAG pipelines that actually answer
Retrieval-Augmented Generation grounds LLMs in your proprietary data — docs, wikis, CRM, knowledge bases. UseAIEasily ships production RAG systems from Budapest for Hungarian and international clients.
01
When you need RAG
- Internal docs, wikis, playbooks you want to search with AI
- Support automation using your product documentation
- Sales assistant pulling from CRM context
- Legal, medical, financial domains where hallucinations aren't acceptable
- Any case where the LLM needs fresh, private, or large-scale data
02
What we deliver
Embedding pipeline
Document ingestion (PDF, DOCX, HTML, Confluence, Notion, SharePoint), intelligent chunking, OpenAI/Voyage/Cohere embeddings, incremental updates.
Vector store
Pinecone, Qdrant, Weaviate, or pgvector — based on data sensitivity and scale. EU-region hosting available.
Hybrid retrieval
Vector similarity + BM25/full-text + metadata filters + re-ranking (Cohere Rerank, BGE). 3–4x relevance gains over pure vector search.
Production integration
LLM orchestration (LangGraph, Vercel AI SDK), citation tracking, error handling, monitoring (LangSmith), cost optimization.
03
Typical timeline and cost
Small RAG (5–10k docs, single source): 4–6 weeks, €15k–€35k. Mid-enterprise (multi-source, hybrid, RBAC): 8–12 weeks, €35k–€80k. Regulated/multilingual enterprise: custom scope.
Let's build your RAG pipeline
30-minute call to scope your data, use-case, and compliance. We close with a firm quote and a 4-week roadmap.
Book a discovery callWhat we can build with this
RAG products you could ship
Concrete RAG-powered products our team has built or could build for you.
Customer-facing FAQ bot
Embedded on your site, answers product questions from docs + tickets without inventing.
Legal document Q&A
Upload contracts → ask questions across your library → get citation-backed answers.
Onboarding copilot
New hires ask anything, get answers from policies, playbooks, and team docs in seconds.
Internal search engine
Hybrid retrieval over Drive, Notion, Confluence, Linear, GitHub — one query, all results.
Tech support copilot
Engineers query past incidents, runbooks, postmortems, and architecture docs from one prompt.
Further reading
Related case studies
Deeper on the blog
Engagement tiers
Four ways to put senior AI engineering inside your business
Fixed prices. 100% IP yours. Most clients start with a 30-min scoping call so we agree on the right tier before any building.
Projects by us
AI projects we built
AI systems built by us — same stack we ship to clients.
aiwebmobile
AIHealthIQ
AI health coach powered by wearable data
Ingests wearable data (heart rate, sleep, steps, oxygen) from watches and fitness bands, correlates it with AI, and surfaces concrete lifestyle, medication, or 'see a doctor' recommendations. Web and mobile clients on the same API.
Stack
ExpressReact-ReduxSQLiteOpenRouter
aiweb
3D AI Property
AI that turns flat specs into a walk-through 3D interior
Type a flat's specs and the AI generates its 3D floor plan + interior, which you can fine-tune by hand and walk through in FPV or drone view. Swap between ten interior styles in one click — no interior designer needed.
Stack
Next.jsTypeScriptOpenRouterSQLite
aiweb
The Truth AI News
Fact-checked news aggregator with AI bias scoring
News aggregator that pulls from multiple sources, fact-checks with AI, summarises the piece, and scores how biased / opinionated it is plus what the article is trying to achieve. Editorial transparency is the whole point.
Stack
Next.jsTypeScriptPrismaPostgreSQLOpenRouter
aiblockchain
Multi-Agent Crypto Trading
Four AI agents vote on every crypto trade
Four specialised AI agents — data, sentiment, quant model, verifier — vote together on trades across the top 50 crypto tokens, combining price with news and social signal. Runs 24/7, web UI + API, open-source.
Stack
PythonpandasNumPyscikit-learnLangChainOllamaSQLite
Start your project
30-minute discovery call, fixed-price quote, 4-week roadmap. The next project could be yours.
Book a discovery call
Real reviews
What clients say about us
Quick feedback from people who worked with our team.
5.0
Overall
Based on real reviews
Faster work + consistent output
“Everything got faster and more organized.”
I stopped guessing. Now I follow clear steps and get solid results every time.
Better output + less time
“AI finally feels useful day to day.”
Now I know what to ask and how to get clean outputs for posts, emails, and offers.
Cleaner build + faster execution
“The team helped us improve the system fast.”
They quickly identified what to automate, what to tighten up, and how to structure the system better.
New reviews get added regularly.