Cape API – Keep your sensitive data private while using GPT-4
We’ve built the Cape API so developers can keep sensitive data private while prompting LLMs like GPT-4 and GPT 3.5 Turbo. With Cape, you can easily de-identify sensitive data before sending it to OpenAI. In addition, you can create embeddings from sensitive text and documents and perform vector searches to improve your prompt context all while keeping the data confidential. Developers are using Cape with data like financial statements, legal contracts, and internal/proprietary knowledge that would otherwise be too sensitive to process with the ChatGPT API. You can try CapeChat, our…
Cape API – Keep your sensitive data private while using GPT-4 launched on June 27, 2023 with 29 votes, #1,529 of 4,655 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 3 years on.
In plain words
Cape API is a developer tool that enables the use of large language models like GPT-4 while protecting sensitive information. It de-identifies data such as personal, financial, and health information before sending it to OpenAI, and creates embeddings and performs vector searches on confidential documents. The tool is designed for developers working with sensitive materials like financial statements, legal contracts, and proprietary knowledge that would normally be too risky to process with standard LLM APIs. A free tier and playground are available.
written from the facts on this page · September 2026
From the sources
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In the maker’s words, at launch
We’ve built the Cape API so developers can keep sensitive data private while prompting LLMs like GPT-4 and GPT 3.5 Turbo. With Cape, you can easily de-identify sensitive data before sending it to OpenAI. In addition, you can create embeddings from sensitive text and documents and perform vector searches to improve…
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RAGstack – private ChatGPT for enterprise VPCs, built with Llama 22023 · github.com · ▲84Hey hacker news, We’re the cofounders at Psychic.dev (http://psychic.dev) where we help companies connect LLMs to private data. With the launch of Llama 2, we think it’s finally viable to self-host an internal application that’s on-par with ChatGPT, so we did exactly that and made it an open source project. We also included a vector DB and API server so you can upload files and connect Llama 2 to your own data. The RAG in RAGstack stands for Retrieval Augmented Generation, a technique where the capabilities of a large language model (LLM) are augmented by retrieving information…
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