RAG & Knowledge Assistants
Internal copilots that actually know your company — docs, wiki, Slack, code, with citations.
Retrieval-augmented assistants that answer questions from your real knowledge base. Ingestion pipelines, hybrid semantic + keyword search, access control and source citations on every answer.
Concrete outputs, every engagement.
The exact deliverables you can expect when working with us on this service.
- Document ingestion + chunking pipelines
- Hybrid search (vector + BM25) with reranking
- Per-user / per-tenant access control
- Citations and source previews on every answer
- Eval datasets and quality dashboards
The stack behind this service.
- pgvector
- Pinecone
- Qdrant
- LangChain
- OpenAI Embeddings
- Cohere Rerank
Who this fits.
If any of these sound like you, this is probably a good first conversation.
- Companies whose docs live across Notion, Slack and GitHub
- Support and success teams answering the same questions
- Sales orgs needing instant access to product knowledge
Ready to scope a rag & knowledge assistants project?
A 30-minute call to map scope, success metrics and risks. You’ll have a written proposal within 48 hours.
More from our AI & Automation suite.
AI Agents & Workflows
LLM agents that take real action — read your docs, call your APIs, ship work back.
Workflow Automation
Replace manual ops work with AI-augmented pipelines — n8n, Temporal or pure code.
AI Strategy & Architecture
Find the AI & automation opportunities that actually move your business — then a roadmap to execute.