Python FastAPI with JWT Auth serving a RAG Application using Groq + fake embeddings (v1) - hosted at Vercel Cloud using Serverless Functions
A Starter FastAPI + JWT Auth + Retrieval-Augmented Generation (RAG) by Groq LLM + fake embeddings + OpenAPI / Swagger - secured by HTTPS
A PostgreSQL database was used with the pgvector extension
During the development process, I used ChatGPT for assisting with code generation and Github Copilot for code inline suggestion
DevOps by VS Code + GitHub + Vercel Cloud
The Web API at GitHubPython FastAPI with JWT Auth serving a RAG Application using Groq + Hugging Face embeddings (v2) - hosted at Vercel Cloud using Serverless Functions
A Starter FastAPI + JWT Auth + Retrieval-Augmented Generation (RAG) by Groq LLM + Real embeddings by Hugging Face model + OpenAPI / Swagger - secured by HTTPS
A PostgreSQL database was used with the pgvector extension
During the development process, I used ChatGPT for assisting with code generation and Github Copilot for code inline suggestion
DevOps by VS Code + GitHub + Vercel Cloud
The Web API at GitHubPython FastAPI with JWT Auth serving a Tool-Calling AI Agent using LangChain - hosted at Vercel Cloud using Serverless Functions
A production-style FastAPI backend built with LangChain, Groq LLMs, and JWT authentication. The system implements a modern tool-calling AI agent architecture that automatically decides when to use external tools such as Wikipedia for factual retrieval
A Starter FastAPI + JWT Auth + LangChain + AI Agent + OpenAPI / Swagger - secured by HTTPS
During the development process, I used ChatGPT for assisting with code generation and Github Copilot for code inline suggestion
DevOps by VS Code + GitHub + Vercel Cloud
The Web API at GitHubPython FastAPI with JWT Auth serving a Tool-Calling AI Agent - hosted at Render Cloud by Webservice
The AI agent implements a modern 3-phase Tool Agent Pipeline (Plan → Execute → Synthesize) where tools are safely selected, executed, and used to generate grounded responses using a minimal of Langchain
A Starter FastAPI + JWT Auth + AI Agent + OpenAPI / Swagger - secured by HTTPS
During the development process, I used ChatGPT for assisting with code generation and Github Copilot for code inline suggestion
DevOps by VS Code + GitHub + Render Cloud
The Web API at GitHubPython FastAPI with JWT Auth serving a ReAct-inspired AI agent system - hosted at Vercel Cloud using Serverless Functions
The AI agent system follows a lightweight ReAct-inspired flow. A simple router determines when to use a Wikipedia tool, and the retrieved context is passed to the model to generate the final answer using a minimal of Langchain
A Starter FastAPI + JWT Auth + AI Agent system + OpenAPI / Swagger - secured by HTTPS
During the development process, I used ChatGPT for assisting with code generation and Github Copilot for code inline suggestion
DevOps by VS Code + GitHub + Vercel Cloud
The Web API at GitHub