use pinecone_sdk::pinecone::PineconeClientConfig; use pinecone_sdk::models::{Vector, UpsertResponse}; let config = PineconeClientConfig { api_key: Some('<<PINECONE_API_KEY>>'), ..Default::default() }; let pinecone = config.client()?; let mut index = pinecone.index("index-host").awai...
To learn more, see theEmbeddings in .NETandVector Databases for .NETdocumentation. Get started with the Pinecone .NET SDK Getting started with Pinecone in .NET is easy: Set up your Pinecone account and database, if you haven’t already, and create an API key. For more details, see thed...
January 2025 Connect with Pinecone At Jennie Johnson, we are focused on giving the best experience to our job-seekers and that just wouldn't be possible without Pinecone as our vector database and all of our infrastructure that's deployed on AWS." ...
Chose Pinecone because they wanted a production ready, reliable, managed vector database with high performance and that's easy to use; Use case: alert similarity solution for their analysts (https://www.pinecone.io/learn/expel-alert-similarity/) Learn more by requesting a demo PP Perception Poi...
Pinecone makes it easy to provide long-term memory for high-performance AI applications. Pinecone is a managed, cloud-native vector database with no infrastructure hassles. Pinecone serves fresh, filtered query results with low latency at the scale of billions of vectors....
In the application I used Pinecone as the vector database and store embeddings in Pinecone. However, I want to make change to my code so that whenever an user upload a PDF, the application can check if the PDF already been store as embeddings in Pinecone, and if yes, use the old ...
Learn the fundamentals of text embedding and vector databases with Pinecone to build a simple search engine. James Briggs Mehr anzeigen Erweitere deine Datenkompetenzen mit DataCamp for Mobile Mach unterwegs Fortschritte mit unseren mobilen Kursen und täglichen 5-Minuten-Programmierherausforderungen...
资本市场上,2022年也是风起云涌的一年的,各大向量数据库公司纷纷完成了千万美元级别新一轮的融资。可以预见,2023年将会是向量数据库继续快速发展的一年,也会是这一新兴技术由发展走向成熟的一年。这里针对Milvus、Qdrant、Waeviate、Pinecone、ElasticSearch这五个流行的矢量数据库进行横向对比。
Zilliz focuses on vector database management systems for enterprise-grade AI applications. It offers products such as Zilliz Cloud, a fully managed vector database service, and Milvus, an open-source vector database for large-scale vector similarity search. The company primarily serves sectors that...
Explore using Canopy as an open-source Retrieval Augmented Generation (RAG) framework and context built on top of the Pinecone vector database. Kurtis Pykes 12 min tutorial Semantic Search with Pinecone and OpenAI A step-by-step guide to building semantic search applications usi...