README.md

metadata

title: OpenKB Llama Tutorial — Marktechpost
emoji: 📚
colorFrom: indigo
colorTo: blue
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
license: apache-2.0
short_description: AI wiki from docs via OpenKB + Llama 3.3-70B

OpenKB + OpenRouter (Llama 3.3-70B) — Knowledge Base Tutorial

by Marktechpost

Build an AI-powered knowledge wiki from research documents using OpenKB and Meta's Llama 3.3-70B Instruct served for free via OpenRouter.

What this demo covers

Step	Description
1	Initialise a local knowledge base
2	Compile 3 AI research docs (Transformers, RAG, Knowledge Graphs) into a wiki
3	Explore auto-generated summaries and concept pages
4	openkb list + openkb status
5	Natural-language queries against the wiki
6	Save a deep synthesis query
7	Lint the wiki for health issues
8	Programmatic cross-reference graph analysis
9	Incremental update — add a 4th document (Sparse Attention)

Prerequisites

1. Create a free account at openrouter.ai.
2. Generate an API key at openrouter.ai/keys.
3. Paste the key into the app — it is used only for your session and never stored.

The model used (meta-llama/llama-3.3-70b-instruct:free) is free with no credit card required.

Other free models to try

openrouter/mistralai/mistral-7b-instruct:free
openrouter/google/gemma-3-27b-it:free
openrouter/qwen/qwen3-14b:free
openrouter/microsoft/phi-4-reasoning:free

Change LLM_MODEL in app.py to switch models.

Local development

pip install -r requirements.txt
python app.py

Credits

• OpenKB by VectifyAI
• Tutorial by Marktechpost