RAG & Agentic Systems
We build RAG pipelines and agentic systems that connect LLMs to your documents, APIs, and tools - enabling accurate answers, automated workflows, and multi-step reasoning with full observability.
What's Included
Knowledge Inventory
Catalog data sources, access patterns, and freshness requirements.
Retrieval Design
Architect chunking, embedding, and hybrid search for your content types.
Agent Orchestration
Define tool use, planning loops, and human approval gates where needed.
Safety & Grounding
Implement citation, hallucination checks, and policy enforcement layers.
Observability & Scaling
Instrument traces, latency, and quality metrics for production tuning.
Knowledge Refresh
Automate ingestion pipelines to keep retrieval indexes current.
Our Process
A structured, transparent path from discovery through delivery and beyond.
- 01
Knowledge Inventory
Catalog data sources, access patterns, and freshness requirements.
- 02
Retrieval Design
Architect chunking, embedding, and hybrid search for your content types.
- 03
Agent Orchestration
Define tool use, planning loops, and human approval gates where needed.
- 04
Safety & Grounding
Implement citation, hallucination checks, and policy enforcement layers.
- 05
Observability & Scaling
Instrument traces, latency, and quality metrics for production tuning.
- 06
Knowledge Refresh
Automate ingestion pipelines to keep retrieval indexes current.
Let's build something that runs.
Tell us about your goals and our team will map out a production-ready path within 24 hours.