Terraform configuration for deploying Dify on Google Cloud with scalability, high availability, and production-level readiness.

This sample shows how to create two AKS-hosted chat applications that use OpenAI, LangChain, ChromaDB, and Chainlit using Python and deploy them to an AKS environment built in Terraform.

Generative AI in realtime with Confluent Cloud.

Terraform configuration for self-hosting Langfuse on Google Cloud.

Terraform module for OpenClaw AI agent gateway on AWS with ALB, Cognito authentication, EFS persistence, and multi-provider LLM support (Bedrock, Anthropic, OpenAI, Ollama).

Deployment of chromadb into AWS resources through terraform

End-to-end deployment of Azure OpenAI applications using Redis Enterprise as a vector database.

Modular chatbot solution integrating Ollama, Open-WebUI, LiteLLM and AWS Bedrock, with on-premises, hybrid, AWS and Kubernetes deployment options

Docker image for LLaVA: Large Language and Vision Assistant

This open-source project provides a serverless solution for automated identity document processing (IDP) using Amazon Bedrock's Claude-3 model. The solution creates an end-to-end pipeline that processes identity documents, particularly optimized for birth certificates, by automatically extracting relevant information.

Voice AI tool to quickly check on people's safety during disasters

Benchmarking vLLM inference on Amazon EKS with GPU-accelerated serving, Kubernetes-native load generation, and Prometheus/Grafana observability.

🐣 A template to deploy an LLM based API to Cloud Run, using FastAPI, Docker and Github Actions.

An intelligent assistant designed to simplify cloud architecture discovery, resource mapping, and infrastructure optimization through AI-driven insights.

153 crash courses + 30 interactive CLI playgrounds for DevOps, SRE, Cloud, AI & Product engineers. Zero to productive in 2 days per tool. Concepts first, commands second.

A Simple Chatbot created using LLM deployed on EKS using terraform

AI-driven document intelligence platform leveraging AWS Bedrock Knowledge Base and RAG architecture. Stack Highlights Bedrock (Claude 3.5 Sonnet) for LLM orchestration Aurora Serverless PostgreSQL with pgvector for embeddings S3 for document management Terraform for infrastructure provisioning Python for automation and chat workflows Deliver

A lightweight Natural Language Parsing API

Self-hosted SemanticGuard deployment modules — bring the AI gateway with self-validating semantic caching into your own GCP / AWS / Azure account. https://www.semanticguard.dev

Free, production-ready Terraform + vLLM infrastructure for self-hosting LLMs on GKE with GPU autoscaling and scale-to-zero