Connect Upstox and Pinecone to Build Intelligent Automations
Enable Integrations or automations with these events of Upstox and Pinecone
Enable Integrations or automations with these events of Upstox and Pinecone
Actions
Get Historical Candles
Get historical candlestick price data for an instrument over a date range.
Get Live Quote
Get current price and open, high, low, close values for a specified instrument.
Get Full Market Quotes
Get current prices and quote details for specified instruments.
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 Upstox and Pinecone accounts to viaSocket. Once connected, you can set up a workflow where an event in Upstox triggers actions in Pinecone (or vice versa).
Absolutely. You can customize how Upstox 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 Upstox 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 Upstox 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 Upstox
Upstox is a leading platform for trading and investment, offering a range of financial services including stock trading, mutual funds, and more. It provides users with advanced tools and insights to make informed investment decisions.
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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