RAG Intelligence

Transform your documents into intelligent, searchable knowledge powered by AI vector embeddings and GPT-4

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Vector Search

Semantic search using 1536-dimensional embeddings for precise document retrieval

PostgreSQL Vector DB

Neon serverless database with HNSW indexing for lightning-fast similarity search

GPT-4 Powered

OpenAI GPT-4 integration for accurate, context-aware responses

Real-time Streaming

Live AI responses with streaming for instant feedback and natural conversation

PDF Processing

Automatic text extraction, chunking, and embedding generation from PDFs

High Accuracy

99.9% accuracy with intelligent chunking and overlap for context preservation

How It Works

1

Upload PDF

Upload your documents to the system

2

Extract Text

AI extracts and chunks the content

3

Generate Embeddings

Create vector embeddings using OpenAI

4

Store in DB

Save to PostgreSQL vector database

5

Chat & Search

Ask questions and get instant answers

1536D
Vector Dimensions
<2s
Response Time
99.9%
Accuracy
150
Chunk Size

Ready to Get Started?

Transform your documents into an intelligent knowledge base powered by cutting-edge AI technology

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Powered by OpenAI • Neon PostgreSQL • Next.js • Clerk Auth