📚 AI-Search
A simple semantic search engine for PDFs using embeddings + Pinecone vector database — written in Python.
Given a set of PDF documents, this project:
✔ Loads & chunks text ✔ Generates vector embeddings ✔ Stores vectors in Pinecone ✔ Queries them with natural language ✔ Returns relevant passages, document names, and page numbers
🧩 Features
Extract text from PDF files
Compute vector embeddings via your adapter (e.g., LangChain, OpenAI)
Index vectors in a Pinecone index
Run semantic search queries
Filter and dedupe results
Stream or show exact matches + context
🚀 Quick Start Requirements
Before you begin, make sure you have:
✔ Python 3.8 or higher ✔ Pinecone API key ✔ OpenAI key (or other embedding provider)