K-NET KnowledBase

A K-NET KnowledgeBase Agent based on Langgraph and Milvus VectorDB.

Development Setup

1. Create and activate a virtual environment

   git clone https://github.com/amany9000/k-net.git
   cd k-net
   python3 -m venv .venv
   source .venv/bin/activate

2. Install Langgraph CLI

   uv pip install -U "langgraph-cli[inmem]"

   Note: "inmem" extra(s) are needed to run LangGraph API server in development mode (without requiring Docker installation)

3. Install the dependencies

   uv pip install -e .

4. Configure environment variables

   cp env.example .env

5. Run server

   uvx --refresh --from "langgraph-cli[inmem]" --with-editable . langgraph dev --allow-blocking

Notes:

1. uv is needed for seamless dependency resolution.
2. GPT-OSS:20B is the LLM for this Agent, setup in the Configuration here