{"repo":"metehan777/embedding-analysis-with-gemini-claude","free":true,"listed":false,"github":"https://github.com/metehan777/embedding-analysis-with-gemini-claude","clone":"git clone https://github.com/metehan777/embedding-analysis-with-gemini-claude.git","description":"Run a content embedding analysis with Gemini's 3k dimensions model with Claude 3.7 Sonnet Thinking","language":"Python","stars":36,"topics":["ai","claude","embedding","gemini","pattern","pca","seo"],"license":null,"category":"analytics","readme_excerpt":"Embedding Analysis Tool for SEO Read blog post here: https://metehan.ai/blog/embedding-seo-tool-analysis/ What This Tool Does This tool provides in-depth analysis of content embeddings to help with SEO optimization. It: - Generates 3072-dimension embeddings of your content using Google's Gemini API - Creates visualizations of the embedding data including: - Overview of all embedding dimensions - Top dimensions by magnitude - Activation distribution histogram - Dimension clusters heatmap - PCA visualization of dimension segments - Calculates key metrics like mean values, standard deviation, significant dimensions, etc. - Identifies dimension clusters that may represent semantic features - Uses Claude 3.7 Sonnet to analyze the embedding patterns and provide: - Content quality assessment - Identification of semantic structures - SEO optimization recommendations - Analysis of topical strengths and weaknesses How to Use This Tool Setup: - Install the requirements: pip install -r requirements.txt 2. Replace the API keys in the code: - GOOGLE API KEY - Your Google API key with access to Gemini models - ANTHROPIC API KEY - Your Anthropic API key with access to Claude 3.7 Sonnet - Run the application: python embedding.py - Open your browser and navigate to: http://127.0.0.1:5000 Using the Tool: - Paste your content (article, blog post, web page) into the text area - Click \"Analyze Content\" - Wait for the analysis to complete (this can take 30-60 seconds) - Review the visualizations an","default_branch":null,"files":null,"tree":[],"storefront":"/r/metehan777","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/metehan777/embedding-analysis-with-gemini-claude/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}