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AGENTIC-AI

Agents that truly understands complex documents in the form of knowledge-graph and relies heavily on context.

Deployed with cloudflare workers

  • Uses cloudflare agent.
  • Uses KV caching.

What's inside?

This is a Turborepo includes the following packages/apps:

Apps and Packages

  • docs: a Next.js app
  • web: another Next.js app
  • @repo/ui: a stub React component library shared by both web and docs applications
  • @repo/eslint-config: eslint configurations (includes eslint-config-next and eslint-config-prettier)
  • @repo/typescript-config: tsconfig.jsons used throughout the monorepo
  • @packages/working-agent-python: An agent built with langgraph, postgresql database to manage state, python.

Here's the LangSmith tracing of the agent and the loop in which agent is working -

Screenshot 2026-03-17 235123

Alt Text

Build

To build all apps and packages, run the following command:

With global turbo installed (recommended):

cd my-turborepo
turbo build

About

Production-grade Agentic RAG architecture, multi-step state routing, LangGraph orchestration, and edge deployment via Cloudflare Workers.

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