Connect pdf4me and Pinecone to Build Intelligent Automations
Enable Integrations or automations with these events of pdf4me and Pinecone
Enable Integrations or automations with these events of pdf4me and Pinecone
Actions
Rotate All PDF Pages
Rotate all the pages of a PDF document.
Compress PDF
Reduce the file size of a PDF document.
Classify Document
Analyze a PDF from a URL to determine its document class using PDF4me and return classification results, the stored file URL, file name, and base64 content.
Create an index
Create an index for vectors created with an external embedding model.
Generate vectors
Generate vector embeddings for input data.
Delete an Index
Removes a specified index by its ID or name.
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Frequently Asked Questions
To start, connect both your pdf4me and Pinecone accounts to viaSocket. Once connected, you can set up a workflow where an event in pdf4me triggers actions in Pinecone (or vice versa).
Absolutely. You can customize how pdf4me data is recorded in Pinecone. This includes choosing which data fields go into which fields of Pinecone, setting up custom formats, and filtering out unwanted information.
The data sync between pdf4me and Pinecone typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between pdf4me and Pinecone. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About pdf4me
PDF4me is a tool for pdf conversion, splitting, merging, make them PDF/A compliant, protect documents etc.
Learn MoreAbout Pinecone
Pinecone is a vector database designed to provide fast and scalable similarity search and machine learning applications. It enables developers to build high-performance applications that require real-time vector search and retrieval, making it ideal for AI-driven solutions.
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