Connect Eagle Doc and Pinecone to Build Intelligent Automations
Enable Integrations or automations with these events of Eagle Doc and Pinecone
Enable Integrations or automations with these events of Eagle Doc and Pinecone
Actions
Process Finance
Processes an invoice/receipt image or PDF and extracts all relevant data like doc type, general, productItems, taxes and more.
Process Receipts
Processes a receipt image or PDF and extracts all relevant data like shop name, line items, total price, tax information and more.
Process Invoices
Processes an invoice image or PDF and extracts all relevant data like shop name, line items, total price, tax information and more.
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 Eagle Doc and Pinecone accounts to viaSocket. Once connected, you can set up a workflow where an event in Eagle Doc triggers actions in Pinecone (or vice versa).
Absolutely. You can customize how Eagle Doc 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 Eagle Doc 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 Eagle Doc 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 Eagle Doc
Eagle Doc offers streamlined document management and collaboration solutions, enabling users to efficiently store, share, and edit documents online.
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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