XTrace – Encrypted vector DB (search embeddings without exposing them)
Hey everyone! This is XTrace. Wanted to share what we’ve been working on for the past year. We built a private vector database from the ground up that performs similarity search on encrypted vectors. The server never sees your plaintext embeddings or documents. The problem we’re trying to solve: every vector DB today requires plaintext on the server. If you're doing RAG over sensitive data (medical, legal, financial), your embeddings — which researchers have shown can be inverted to recover original text — sit exposed on someone else's infrastructure. XTrace encrypts everything on your…
XTrace – Encrypted vector DB (search embeddings without exposing them) launched on April 22, 2026 with 13 votes, #1,135 of 21,248 launches that month and more than 90% of that year's launches.
In plain words
XTrace is a vector database that performs similarity searches on encrypted data without exposing plaintext embeddings or documents to the server. Designed for organizations handling sensitive information in medical, legal, and financial sectors, it encrypts vectors using Paillier homomorphic encryption and text with AES-256 before storing them. The server only accesses ciphertexts while encryption keys remain in the user's environment. The SDK is open-sourced under Apache 2.0 license, allowing offline verification of encryption functionality.
written from the facts on this page · September 2026
From the sources
open source version xtrace sdk. Contribute to XTraceAI/xtrace-sdk development by creating an account on GitHub.
The encrypted vector database. Your data never leaves your machine in plaintext. Every vector database on the market requires you to hand your data to a third party in plaintext. XTrace doesn't. Your documents and embedding vectors are encrypted on your machine before anything is transmitted. The server stores and searches over ciphertexts — it computes nearest-neighbor results without ever seeing the plaintext. Your data stays yours, even during search. Your Machine XTrace Server ┌────────────────────────┐ ┌─────────────────────────┐ │ │ │ │ │ Documents + Queries │ │ Stores only ciphertext │ │ │ │ │ │ │ ▼ │ │ Searches over │ │ Embed + Encrypt │── ciphertext ─▶│ encrypted vectors │ │ (keys…from github.com
In the maker’s words, at launch
Hey everyone! This is XTrace. Wanted to share what we’ve been working on for the past year. We built a private vector database from the ground up that performs similarity search on encrypted vectors. The server never sees your plaintext embeddings or documents. The problem we’re trying to solve: every vector DB today…
Does a similar job
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