Step 01
Data Analysis
We learn about your data sources, documentation, and information structure. We plan embeddings and indexing.
RAG and knowledge bases
RAG and semantic search
Intelligent knowledge bases with context
We build RAG (Retrieval-Augmented Generation) systems that combine semantic search with generative AI. Your documentation, knowledge base, and data become accessible through natural language.
95%+
Answer accuracy
80%
Faster search
50%
Lower costs vs fine-tuning
Cooperation process
How does our cooperation look like?
A transparent process that leads from idea to finished product
Step 02
Embeddings & Vector DB
We configure embeddings, select vector database (Pinecone, Weaviate, pgvector), and index data.
Step 03
Retrieval & Ranking
We implement semantic search, ranking, and re-ranking. We optimize recall and precision.
Step 04
Generation & Context
We integrate RAG with LLM, optimize context and prompts. We ensure source citation.
Step 05
Evaluation & Optimization
We test retrieval and generation quality. We optimize chunking, embeddings, and prompts.
Step 06
Deployment & Updates
We deploy the system with automatic index updates. We provide monitoring and support.
Key benefits
Why choose us?
Business outcomes first—technology is the means, not the end in itself.
Semantic search
Finding information by meaning, not just keywords.
Vector databases
Scalable vector databases for millions of documents.
Source citation
Every answer with reference to data source.
High accuracy
95%+ accuracy thanks to retrieval and ranking optimization.
Automatic updates
Indexes update automatically when data changes.
Natural language
Users ask in English, system finds answers.
Technologies
What technologies do we use?
Modern tools and proven solutions for the best results
OpenAI Embeddings
Embeddings
Pinecone
Vector DB
Weaviate
Vector DB
pgvector
Vector DB
LangChain
Framework
Next.js
Frontend
Node.js
Backend
PostgreSQL
Database
Service scope
What does the service include?
Below is an example scope of work that we adjust to the stage and goals of the project.
Data analysis and preparation
Embeddings and vector databases
Semantic search and ranking
RAG integration with LLM
Source citation system
Quality evaluation and optimization
Automatic index updates
Monitoring and support
Ready to start?
Schedule a free consultation and learn how we can help with your project. After our DDT process (Discovery, Design & Technology), we offer a price guarantee and a fixed-price agreement.
Preliminary estimate in 48h
Fixed price after DDT — price guarantee
No commitment
We can sign NDA
Contact
Let's talk
about the outcome, not the hype.
Tell us which product, workflow or system you want to improve. We usually reply within 24 hours with questions and recommend a practical first step: a consultation, AI Sprint, DDT or an audit.
Write to us[email protected]
Visit us
GD
gmi.software Sp. z o.o.ul. Jana Heweliusza 11 / 819
80-890 Gdansk, PolandNearshore product delivery across EU, UK and US time zones.
80-890 Gdansk, PolandNearshore product delivery across EU, UK and US time zones.
NIP: 5252816287KRS: 0000830003
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