Timeline of You: Your career, intelligently curated and powerfully presented

Our project aims to revolutionize how professionals document, analyze, and showcase their career achievements, and a part of Agentic RAG-A-THON submission that was organized by LlamaIndex in Palo Alto, CA, USA.

This repository contains a FastAPI application that parses documents using a custom document parser LlamaParser and process it using Agent powered by Llama-index.

View our Devpost submission.

Features

Multiple file upload support
Document parsing using LlamaParser
Saving parsed sections into separate text files
Extract entities using TextExtractEntitiesAgent using llama-index agents
Ingested entities into Neo4j instance
Query GraphRAG with llama-index agent

Requirements

pip install -r requirements.txt

Setup Instructions

Set up the ENV Variables
- GROQ_API_KEY
- LLAMAINDEX_CLOUD
- NEO4J_URI
- NEO4J_USERNAME
- NEO4J_PASSWORD
- AURA_INSTANCEID
- AURA_INSTANCENAME
- TOGETHER_API_KEY
- OPENAI_API_KEY
create virtual env
install the dependencies
Start the server: ```uvicorn app.main:app --reload````