Chat Ai

Chat-ai

CHAT-AI LLM Powered Lanjutan Aplikasi Obrolan

Aplikasi obrolan bertenaga penghasil pengambilan lanjutan (RAG) yang memungkinkan pengguna untuk berinteraksi dengan berbagai jenis file menggunakan LLMS. Ini mendukung komunikasi yang mulus dengan dokumen -dokumen seperti PDF, DOCX, TXT dan CSV, memberikan tanggapan yang akurat berdasarkan konten file.

tumpukan teknologi digunakan

Backend

• Python, Fastapi, Sqlalchemy, Langchain

Database

• Postgres (SQL)

Vektorstore

• Qdrant-vektor

Instalasi

 # Clone the repo
$ git clone https://github.com/saurabh-kud/Chat-Ai


# Setting Up ENV
> setup .env file for database and llm

APP_NAME= " CHAT AI "
APP_VERSION=0.0.1
APP_HOST = " 0.0.0.0 "
PORT=8000
PYTHON_ENV=development
DOCS_ENABLED=True

GOOGLE_API_KEY=AI ****************** ohd
OPENAI_API_KEY=sk- ************************** Prx

POSTGRES_USER=postgres
POSTGRES_PASSWORD=123456


# Install Virtual Env
$ pip install virtualenv

# Create Virtual Environment
$ py -3 -m venv v_env

# Activate Virtual Env [Windows]
$ . v _env S cripts a ctivate

# Activate Virtual Env [Linux]
$ source v_env/bin/activate

# go to working directory
$ cd backend

# Install dependencies
$ pip install -r requirements.txt

# NOTE- if you are not running through docker then you have to run you psql server and qdrant-db seperately
$ docker run -p 6333:6333 qdrant/qdrant --name qdrant-db

# Migrate Using Alembic
$ alembic upgrade head

# Start server
$ uvicorn app.main:app

# Access
$ http://localhost: ${PORT} /api/docs

# Using Docker
$ docker compose -f docker-compose.yml -p chatai-stack up -d --build --force-recreate --remove-orphans

# Access
$ http://localhost: ${PORT} /api/docs

# Access your app
$ http://localhost: ${PORT}

Pengarang

? Saurabh Kumar

• GitHub: @Saurabh-kud
• LinkedIn: @Saurabh-Kud

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Lisensi

© Saurabh Kumar | Mit