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Expertise / RAG systems
RAG & knowledge assistants
Make scattered company knowledge searchable, cited, and useful.
Discuss this project ↗What we solve
We build retrieval systems that ingest real business content, respect permissions, return source-grounded answers, and improve through evaluation rather than guesswork.
OutcomeFaster answers from trusted sources without asking teams to hunt through folders and threads.
What clients ask for
- ✓Document and knowledge-base ingestion
- ✓Semantic search and cited answers
- ✓Internal copilots for teams
- ✓Permission-aware retrieval
- ✓RAG debugging, evaluation, and cost tuning
What we deliver
- ✓Ingestion and chunking pipeline
- ✓Embedding and retrieval strategy
- ✓Vector database implementation
- ✓Citations and source links
- ✓Evaluation set, monitoring, and documentation
Typical toolkit
LangChainLlamaIndexPineconeQdrantpgvectorOpenAIAnthropic
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