mazzasaverio/nextjs-fastapi-your-chat

Stars
48
Rank 594,835 (Top 12 %)
Language
TypeScript
License
MIT License
Created 10 months ago
Updated 10 months ago

mazzasaverio/nextjs-fastapi-your-chat

mazzasaverio

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Chat with any website using FastAPI, Next.js, and the latest LangChain version for seamless integration.

fastapi-your-data

Learning journey to develop a scalable and modular backend to manage your data and solve your problems

youtube-auto-dub

Automated voice dubbing for YouTube videos using Docker, OpenVoice, and FastAPI. Translates and dubs videos with original voice timbre.

fastapi-langchain-rag

(Let's start with a) Scalable question-answering system utilizing FastAPI, LangChain (LCEL), and PGVector, featuring an ingestion pipeline. Deployed on GCP Cloud Run via Terraform.

terraform-gcp-cloud-run

Terraform code to instantiate a Cloud Run V2 connected to a Postgres Cloud SQL, on which the pgvector extension will be enabled, with a connection to Redis and continuous deployment through the automatic trigger of Cloud Build.

fastapi-cloudrun-starter

FastAPI on Cloud Run v2: Terraform setup, GitHub Actions CI, Cloud Build triggers, Secret Manager integration

etl-texts

ETL-Texts aims to be a simple and efficient pipeline designed for extracting, translating, cleaning, and transforming text files.

data-engineer-journey

I decided to start tracking my learning, tips, code, building projects, ideas, and curiosities that I discover on my data engineer development journey. I hope that others might find interesting insights, discover their own paths, and enjoy the journey as well.

nextjs-saas-starter

my-digital-garden

(Let's start a) Digital garden where I cultivate and share my thoughts, ideas, and knowledge in a structured manner. It serves as a digital space for creativity and learning, built with Next.js, React, Tailwind CSS, Shadcn, Velite and TypeScript

find-your-opensource-project

How to use the GitHub API to fetch and analyze repositories

synthetic-data-generation

Generates structured synthetic datasets using Pydantic v2 for validation and Azure OpenAI for generating realistic open string data. It supports configurable data schemas, distributions, dependencies, and prompts.