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````