🧠 Agentic Document Intelligence System

A modular, agentic platform for intelligent document understanding. It parses documents, embeds chunks using Mistral, stores them in a Neo4j graph, and retrieves context using hybrid semantic + graph traversal. Designed for recruiter visibility, demoability, and real-world utility.

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🧠 Architecture Diagram

────────────────────────────┐
│ sample_pdf.pdf │
└────────────┬───────────────┘
             │
 ┌──────────▼──────────┐
│ DocumentParserAgent │
└──────────┬──────────┘
            │
 ┌──────────▼──────────┐
│ ChunkEmbedderAgent│
← Mistral Embeddings ]
└──────────┬──────────┘
            │
 ┌──────────▼──────────┐
│ Neo4jIngestionAgent │
← Stores chunks as nodes
 └──────────┬──────────┘
│ ┌──────────▼──────────┐
│ HybridRetriever       │
← Cosine + Graph traversal
 └──────────┬──────────┘ │
 ┌──────────▼──────────┐
│ ResponseAgent        │
   ← Mistral Chat (citations)
└─────────────────────┘

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🧩 Agents Breakdown

Agent	Purpose
DocumentParserAgent	Parses PDF and extracts clean text chunks
ChunkEmbedderAgent	Embeds chunks using Mistral embedding API
Neo4jIngestionAgent	Stores chunks as nodes and links them sequentially in Neo4j
HybridRetriever	Retrieves relevant chunks using cosine similarity + graph expansion
ResponseAgent	Formats chunks and prompts Mistral chat for citation-aware answers

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🛠️ Setup

1. Install dependencies

uv init
uv add

Set environment variables

Create a .env file:

NEO4J_URI=neo4j+s://your-neo4j-uri
NEO4J_USER=neo4j
NEO4J_PASSWORD=your-password
MISTRAL_API_KEY=your-mistral-key