This tool analyzes a website by URL, capturing a screenshot, using AI to extract its name, description, and a custom "vibecoding" status, and storing the results in a database. It accepts a website URL as input and returns the screenshot link, extracted info, and status.
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Screenshot URL
Capture a screenshot of any web page and generate a public link to the image. Accepts a URL as input, takes a screenshot with customizable dimensions and format, stores it in cloud storage, and returns the public URL and file path of the screenshot.
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Create Embeddings for Fields
Generate and store vector embeddings for specific fields in structured content documents. Accepts an array of documents, a list of fields to embed, and a target collection name; returns a confirmation message after embeddings are created and saved for each document.
By BuildShipBuildShip DB Fetch Schema
Generates the JSON schema for a specified collection in a BuildShip Firestore database. Accepts the collection name as input, fetches a sample document, uses quicktype-core to infer the schema according to JSON Schema Draft 6, and returns the schema as output.
By BuildShipAdd/Update Rows In BuildShip DB
Adds or updates multiple documents in a BuildShip database collection in one batch. Accepts a collection name and an array of document objects (with or without IDs), then creates new documents or updates existing ones. Returns an array with each document’s ID, path, and status. The process uses BuildShip’s Firestore integration for efficient batch operations.
By BuildShipBuildShip Vector Search
Provides context-aware answers to user queries by searching a vector database. Accepts a query string, the name of the vector field, and the collection name as input, retrieves relevant context using OpenAI embeddings and a Firestore vector search, and returns a concise, generated answer. The process generates an embedding for the query with OpenAI, searches the specified Firestore collection for similar vectors, stringifies the results, and uses OpenAI GPT to generate a final answer based on the retrieved context.
By BuildShipCreate Embeddings for Raw Content BuildShip DB
Generates and stores vector embeddings from raw text for efficient search and analysis. Accepts unstructured text, an embedding field, and a target database collection as input, splits the text into chunks, uses OpenAI to create embeddings for each chunk, and saves them in the specified BuildShip database collection. Returns a success message.
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