aiqorx
Retrieval workflows
Coordinate context gathering and answer generation.
AI & intelligent workflows / LangChain
Compose a bounded AI workflow.
LangChain provides components for applications that connect models, tools, and retrieval.
Talk through your project
Technology in focusLangChainEvidence / Evaluation / Control
A connected engineering approach
- 01Experience
People, tasks, accessibility
- 02Application
Components, logic, integrations
- 03Foundation
Data, operations, maintenance
The architecture follows your product requirements.
01 / Where it fits
Built around
a real use case.
Tool use
Structure model interactions with explicit capabilities.
02 / Architecture
The decisions
behind the build.
A sound foundation
Keep state, evaluation, timeouts, and traceability visible around each model or tool call.
The tradeoff to consider
Framework abstractions add dependencies. Use them where they simplify a real workflow.
03 / Delivery & care
Make it work.
Keep it dependable.
Quality in the details
Check permissions, failure handling, accessibility where relevant, and representative end-to-end behavior. Record the configuration and review it when dependencies change.
Understand
Review the users, existing systems, constraints, and definition of success.
Shape
Document the architecture, interfaces, risks, and delivery scope.
Build & validate
Review working increments against real use cases and failure conditions.
Handover & evolve
Prepare operating guidance, ownership, and a practical maintenance plan.
04 / A few useful questions
Before you begin.
Is LangChain the right choice for my project?
Framework abstractions add dependencies. Use them where they simplify a real workflow.
Can we improve an existing application?
Start with a code and architecture review. The useful outcome is a clear decision about what to keep, improve, or replace, with the dependencies and delivery risks made explicit.
How are scope and cost determined?
The estimate depends on the workflows, integrations, platform requirements, and quality expectations. A focused discovery phase can reduce uncertainty before committing to the full build.
What happens after launch?
Agree on source ownership, documentation, monitoring, support responsibilities, and a maintenance plan as part of the engagement.
Something in mind?
Let's buildwhat's next.
A new website. A better product. A bigger possibility.It starts with a conversation.