{"repo":"metehan777/vectordb-gsc","free":true,"listed":false,"github":"https://github.com/metehan777/vectordb-gsc","clone":"git clone https://github.com/metehan777/vectordb-gsc.git","description":"Turn your Google Search Console data into a vector database and analyze search performance with AI (Gemini, Grok, Claude)","language":"Python","stars":19,"topics":["aeo","geo","google-search-console","vector-database"],"license":null,"category":"databases-storage","readme_excerpt":"GSC Vector Database Turn your Google Search Console data into a vector database and analyze search performance with AI. What It Does 1. Extracts the last 16 months of search performance data from Google Search Console 2. Embeds queries, pages, and metrics into a local ChromaDB vector database using Gemini embeddings 3. Analyzes your data using AI with semantic retrieval (RAG) — pick from 3 providers 4. Audits individual pages by scraping your content + competitors via Parallel.ai and comparing what's missing Tech Stack Component Tool Cost --- --- --- Vector Database ChromaDB (local) Free Embeddings Gemini gemini-embedding-2-preview (768d, MRL) Free tier Analysis LLM Gemini Flash 3 Free tier Analysis LLM Grok 4.1 (2M context window) Pay-per-use Analysis LLM Claude Opus Pay-per-use Web Research Parallel.ai Search + Extract API Pay-per-use Data Source Google Search Console API Free Why 3 LLM Providers? Provider Context Window Best For --- --- --- Gemini Flash 3 (default) 1M tokens Fast, free analysis with good quality Grok 4.1 ( --grok ) 2M tokens Deepest analysis — sends 5x more data from the vector DB Claude Opus ( --claude ) 200K tokens Strategic, nuanced recommendations Setup 1. Clone 2. Google Cloud Service Account 1. Go to Google Cloud Console 2. Create a service account (or use an existing one) 3. Download the JSON key file and place it in the project root 4. Enable the Search Console API in your GCP project 5. In Google Search Console, go to Settings Users and permission","default_branch":null,"files":null,"tree":[],"storefront":"/r/metehan777","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/metehan777/vectordb-gsc/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."}