Pinecone Assistant

Pinecone Assistant is a service that helps power chat and agent-based applications. It makes tasks like document chunking, embedding, and retrieval easy. This lets developers focus on results and reduces maintenance and scaling costs.

Key Features

Pinecone Assistant has several key features:

It is simple to add files and start building AI apps using the API. It provides relevant answers grounded in your data, with references. You have full control over your data. Uploaded files help generate useful answers without training the model, and data can be permanently removed. Developers can prototype and ship AI assistants in minutes. New chat and context APIs power chat and agent-based applications. You can tailor the assistant''s behavior and responses to specific use cases or requirements. It offers options to build in the EU or US. It supports JSON, .md, .docx, PDF, and .txt files.

Benefits

Pinecone Assistant speeds up the development process for experienced developers and enables less experienced users to create retrieval-augmented generation (RAG) pipelines. It delivers up to 12% more accurate results than other assistant APIs for text-heavy technical data. It encrypts and isolates uploaded data, ensuring it is not used to permanently fine-tune or train the underlying language model. It automates data ingestion and querying, reducing the need for complex data preprocessing.

Use Cases

Pinecone Assistant has been used to create thousands of AI assistants across diverse use cases, including:

It helps in analyzing financial data quickly and accurately. It assists in legal research and document analysis. It ensures adherence to regulations and company policies. It provides troubleshooting and user assistance.

Cost/Price

Pinecone Assistant offers various pricing plans to suit different needs:

The Starter Plan is free, ideal for testing and small projects. The Standard Plan is pay-as-you-go, offers more robust storage and processing capabilities. The Enterprise Plan includes advanced options like custom region deployments and enterprise-grade support.