Skip to content

Building reliable Retrieval Augmented Generation(RAG) AI Architecture

License

Notifications You must be signed in to change notification settings

S3annnyyy/Agentic-RAG-Implementation

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

28 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Agentic RAG Implementation

Building reliable Retrieval Augmented Generation(RAG) AI Architecture

image

Make sure you have Python 3.10.9 or higher and pip 24.0 or higher installed. Install dependencies with:

pip install requirements.txt

Configuring environment.

  1. Create free-tier accounts from Firecrawl & Tavily AI
  2. Create .env under Agentic-RAG folder and populate folder in this manner:
FIRECRAWL_API_KEY=XXX
TAVILY_API_KEY=XXX
  1. Download ollama and download llama3 model by running the following in command prompt:
ollama run llama3
~Should take about 30mins unless your laptop trash af 

Once it's done start up by running this command in the terminal:

python main.py

About

Building reliable Retrieval Augmented Generation(RAG) AI Architecture

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published