https://github.com/code4mk/langchain-rag-application

Generative ai RAG movie history ( chat and qa) with langchain, openai and pinecone
https://github.com/code4mk/langchain-rag-application

gen-ai gradio langchain langchain-rag openai pinecone

Last synced: 3 months ago
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Generative ai RAG movie history ( chat and qa) with langchain, openai and pinecone

README

# RAG Application

This is a Retrieval-Augmented Generation (RAG) application using Langchain, OpenAI, and Pinecone for movie history.

## Features
- Chat
- Question Answering (QA)

## Setup

1. **Create a virtual environment:**

```bash
python -m venv venv
```

2. **Activate the virtual environment:**

- On Windows:
```bash
venv\Scripts\activate
```
- On macOS and Linux:
```bash
source venv/bin/activate
```

3. **Install dependencies:**

```bash
pip install -r requirements.txt
```

4. **Set up environment variables:**

Create a `.env` file in the root directory of your project and add the following variables:

```plaintext
OPENAI_API_KEY=""
PINECONE_API_KEY=""
PINECONE_INDEX_NAME="movie-history"
FEATURE_NAME="chat" # "qa"
```

-> `FEATURE_NAME` will be `chat|qa` . diff is chat will preserve history

## Load Data into Pinecone VectorDB

1. **Load the data into Pinecone:**

```bash
python ./src/vector_store/load_data.py
```

## Run the Project

1. start project with gradio ui

```bash
python app.py
```

* `127.0.0.1:7860`