Connect CoinTelegraph and Pinecone to Build Intelligent Automations
Enable Integrations or automations with these events of CoinTelegraph and Pinecone
Enable Integrations or automations with these events of CoinTelegraph and Pinecone
Actions
Get Crypto Ticker Rates
Fetches real-time cryptocurrency ticker rates.
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.
Fetch Index by Name
Returns details and structure of a specified index.
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Frequently Asked Questions
To start, connect both your CoinTelegraph and Pinecone accounts to viaSocket. Once connected, you can set up a workflow where an event in CoinTelegraph triggers actions in Pinecone (or vice versa).
Absolutely. You can customize how CoinTelegraph 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 CoinTelegraph 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 CoinTelegraph 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 CoinTelegraph
CoinTelegraph is a leading online publication that covers the latest news and analysis on blockchain technology, cryptocurrency, and fintech. It provides insights into the digital currency market, offering updates on Bitcoin, Ethereum, and other altcoins, as well as developments in the blockchain industry.
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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