inboxpraveen/Context-Search-Engine
Context Search Engine is an AI-powered semantic document search platform built for learning, experimentation, and real-world prototyping. It demonstrates the full lifecycle of modern vector-based search — from document ingestion to chunking, embedding, indexing, and contextual query matching.
This project offers a personal search laboratory to understand how modern AI search engines work. You can upload your own documents (PDFs, Word files, text) and instantly get context-aware search results, rather than just keyword matches. It's designed for students, researchers, and data scientists who want to learn about and experiment with semantic search.
Use this if you want to understand, experiment with, and prototype how AI-powered semantic search functions using your own documents.
Not ideal if you need a production-ready, enterprise-scale search solution or a highly customized application for an existing system.
Stars
13
Forks
3
Language
Python
License
MIT
Category
Last pushed
Dec 24, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/inboxpraveen/Context-Search-Engine"
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