You don't need to spend a single dollar to build a production AI system in 2026.
Here's the full stack:
→ LLM: Ollama + Gemma 4 / Llama 3.3 / Mistral Small 4 (local, free)
→ Orchestration: LangGraph / CrewAI (open source)
→ RAG: LlamaIndex + ChromaDB / Qdrant (local)
→ Tool Layer: MCP — the open protocol connecting agents to everything
→ Code Agent: Claude Code CLI / Aider
→ Frontend: Next.js + Vercel free tier / Streamlit
→ Data: SQLite / DuckDB / Supabase free tier
→ Observability: Langfuse / Phoenix (self-hosted)
→ Deploy: Docker / Cloudflare Workers / HuggingFace Spaces
Total cost → $0.
The tools are free.
The architecture knowledge is what's valuable.
Save this for your next build 🔖
Credit: codewithbrij
#AIArchitecture #AgenticAI #LLM #Ollama #Gemma4 #LangGraph
@UBSAOfficial@UBSAOfficial
poor time management and respect for the fixtures, poor officiating. You end up collecting results to draft your table and blogs. wake up.