What we build
Technical Integration
RAG & Knowledge Systems
Retrieval-augmented systems that answer from your own data — and cite exactly where.
A retrieval layer over your internal docs, wikis, and product data, tuned for chunking and re-ranking so answers actually improve with better retrieval, not just a bigger model. Every answer links back to its source passage so your team can verify instead of guess.
What we build
- Document ingestion pipelines
- Chunking & embedding strategy
- Source-linked, verifiable answers
- Incremental re-indexing
- Role-based document access
Optimizing tech
The tools we reach for most on rag & knowledge systems projects — matched to your scale and budget, not sold as a package.
PineconeWeaviateChromaLangChainOpenAI / Cohere embeddings
Want this built for you?
Start a Project
Next Service