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Trovec Viewer

Trovec Viewer

FrandiTech

| (0) | Free
View and query .trovec vector database files
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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Trovec Viewer for VS Code

A VS Code extension for viewing and querying .trovec vector database files directly in the editor.

Features

  • Custom editor — opens .trovec files with a visual interface instead of raw binary
  • MongoDB-style queries — familiar fluent syntax for browsing, filtering, and aggregating data
  • Autocomplete — context-aware suggestions for commands, operators, and field paths from your data
  • Live reload — automatically refreshes when the .trovec file changes on disk

Usage

  1. Open any .trovec file in VS Code
  2. The Trovec Viewer opens automatically
  3. Type a query and press Ctrl+Enter (or click Run)

Query Reference

Commands

db.find()                                         // all entries (paginated)
db.find({ id: "doc-1" })                          // find by exact ID
db.find({ id: { $regex: "^doc-" } })              // ID pattern match
db.find({ "context.category": "news" })           // filter by context field
db.find({ "context.score": { $gt: 0.5 } })       // comparison operators
db.count()                                        // total entry count
db.count({ "context.type": "article" })           // filtered count
db.distinct("context.category")                   // unique values for a field
db.stats()                                        // collection metadata

Chaining

db.find({ "context.type": "article" })
  .sort({ "context.date": -1 })                   // sort (1 = asc, -1 = desc)
  .skip(20)                                        // offset
  .limit(10)                                       // max results

Filter Operators

Operator Description Example
(none) Exact match { "context.type": "article" }
$gt Greater than { "context.score": { $gt: 0.5 } }
$gte Greater than or equal { "context.score": { $gte: 0.5 } }
$lt Less than { "context.score": { $lt: 1.0 } }
$lte Less than or equal { "context.score": { $lte: 0.9 } }
$ne Not equal { "context.status": { $ne: "draft" } }
$in In array { id: { $in: ["a", "b"] } }
$nin Not in array { "context.type": { $nin: ["draft"] } }
$regex Pattern match (case-insensitive) { "context.title": { $regex: "^intro" } }
$exists Field exists { "context.tags": { $exists: true } }
$and Logical AND { $and: [{ ... }, { ... }] }
$or Logical OR { $or: [{ ... }, { ... }] }

Multiple fields in one object are implicitly $and:

db.find({ "context.type": "article", "context.score": { $gte: 0.8 } })

Result Table

  • Click any row to expand it and see the full context JSON, embedding values, and vector stats (min, max, mean, L2 norm)
  • Results are paginated at 50 rows per page

Development

# Install dependencies
npm install

# Compile
npm run build

# Launch in VS Code
# Press F5 (uses the "Run Trovec Viewer Extension" launch config)

File Format

The extension reads .trovec binary files (with optional Brotli compression) produced by @trovec/core. It supports all quantization types (F32, INT8, BIT) and metrics (cosine, euclidean, dot, hamming).

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