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A lightweight semantic search engine for ranking processes and their steps by meaning rather than keywords. It uses FAISS for vector similarity search, Sentence Transformers for semantic embeddings, and Supabase as the backend database, with a FastAPI endpoint and a React frontend for interactive searching and adjustable similarity filtering.

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Local Semantic Search for Processes & Steps

This project is a semantic search engine for processes and their steps using:

FAISS for vector search

Sentence Transformers for generating embeddings

Supabase as the database

FastAPI as the backend API

React as the frontend

It enables searching processes and their steps semantically (beyond keyword matching), returning the most relevant results along with optional step context.

About

A lightweight semantic search engine for ranking processes and their steps by meaning rather than keywords. It uses FAISS for vector similarity search, Sentence Transformers for semantic embeddings, and Supabase as the backend database, with a FastAPI endpoint and a React frontend for interactive searching and adjustable similarity filtering.

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