Pinecone Integration
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Pinecone Integration
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This integration transfers data from Apify Actors to a Pinecone and is a good starting point for a question-answering, search, or RAG use case.
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Get a demoReduce Input and output token sizes for pinecone integration
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See attached file. I am trying to integrate WCC with Pinecone to send the vector files to Pinecone.
Thank you for your interest in the Pinecone integration!
This issue occurs when the text is too long to compute text embeddings. To resolve this, you need to split the data into smaller sections, called chunks. The parameters chunkSize and chunkOverlap are crucial for this process. The ideal settings will depend on your use case, as proper chunking can optimize retrieval and improve response accuracy.
Please enable performChunking and set the values according to your needs:
1{ 2 "performChunking": true, 3 "chunkSize": 2000, 4 "chunkOverlap": 200 5}
You can find more information in the Actor documentation or the Pinecone documentation.
I'll close the issue now. Let me know if you have any further questions.
ApifyActor Metrics
42 monthly users
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19 stars
87% runs succeeded
5.8 days response time
Created in Jun 2024
Modified 4 days ago
