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voyageai-cli

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CLI for Voyage AI embeddings, reranking, and MongoDB Atlas Vector Search

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# Changelog All notable changes to voyageai-cli are documented here. Format based on [Keep a Changelog](https://keepachangelog.com/). ## [1.21.0] - 2026-02-10 ### Added - **`vai generate`** — Emit production code snippets for RAG applications - Components: client, connection, retrieval, ingest, search-api - Targets: Node.js/Express, Next.js/MUI, Python/Flask - Auto-detects target from project files - Reads configuration from `.vai.json` - **`vai scaffold`** — Create complete starter projects - Vanilla (9 files), Next.js (13 files), Python (8 files) - Includes server, API routes, client, connection, retrieval, ingest - `.env.example` and README with setup instructions - **`vai purge`** — Remove embeddings from MongoDB by criteria - Filter by `--source`, `--before`, `--model`, `--stale` - `--dry-run` for safe preview before deletion - **`vai refresh`** — Re-embed documents with new model/settings - `--model` and `--dimensions` for model upgrades - `--rechunk` to re-chunk before re-embedding - Batch processing with progress reporting - **`vai eval compare`** — Compare multiple configurations side-by-side - **`vai eval --save/--baseline`** — Track quality metrics over time - **`vai init`** — Modernized with @clack/prompts and back navigation - **Desktop App: Check for Updates** — Menu item in app menu (macOS) / Help menu (Windows/Linux) - **Desktop App: Generate tab** — Code generation and scaffold UI - Electron: Create projects on disk with native file dialog - Web: Download as ZIP file - **Playground: ZIP scaffold**`/api/scaffold` endpoint for web mode - **Onboarding walkthrough** — Updated to 9 steps covering all tabs - **Sidebar reorganized** — Tools (Embed, Compare, Search, Multimodal, Generate) / Learn (Benchmark, Explore, About) - 3 new explanation topics: `code-generation`, `scaffolding`, `eval-comparison` ### Changed - Template engine (`src/lib/codegen.js`) supports `{{var}}`, `{{#if}}`, `{{#each}}` — no external deps - 390 tests (up from 360) ## [1.20.0] - 2026-02-04 ### Added - **Desktop App** — Signed and notarized macOS DMG via electron-builder - Auto-update via electron-updater - Settings cog in header for API key management - OS keychain encryption for stored credentials - **Multimodal tab** — Image ↔ text similarity, cross-modal gallery search - **Vector Space Invaders** — Easter egg (Konami code or 7x logo click) - Anonymous telemetry to vai.mlynn.org (opt-out available) - 4 new multimodal explanation topics ### Changed - CLI npm package optimized with `files` whitelist (327KB, was 550MB) ## [1.19.0] - 2026-02-03 ### Added - **`vai benchmark`** — 8 subcommands for model comparison - `embed`, `rerank`, `similarity`, `cost`, `batch`, `asymmetric`, `quantization`, `space` - Latency (p50/p95), throughput, cost per million tokens - `--save` results to JSON - **`vai estimate`** — Cost calculator for symmetric vs asymmetric retrieval - Marketing site vai.mlynn.org deployed ## [1.18.0] - 2026-02-02 ### Added - **`vai eval`** — Evaluate retrieval quality with MRR, nDCG, Recall@K, Precision@K - Supports retrieval and rerank modes - Custom K values and test sets - **`vai query`** — Two-stage retrieval (vector search + rerank) - **`vai pipeline`** — End-to-end chunk → embed → store - `--create-index` flag for automatic index creation - Progress reporting on stderr - **`vai chunk`** — 5 chunking strategies (fixed, sentence, paragraph, recursive, markdown) - **`vai init`** — Initialize project with `.vai.json` configuration ## [1.17.0] - 2026-02-01 ### Added - **Playground** — Web UI at `vai playground` - Embed, Compare, Search, Benchmark tabs - Model selector, dark/light theme toggle - Real-time similarity heatmap - **`vai explain`** — 22 interactive concept explainers - Topics: embeddings, reranking, vector-search, RAG, cosine-similarity, etc. - Alias resolution for common terms - Links and "try it" commands for each topic - **`vai app`** — Launch Electron desktop app - **`vai completions`** — Shell completions for bash and zsh - **`vai about`** — Version and system info ## [1.15.0] - 2026-01-30 ### Added - **voyage-4 model family** support - voyage-4-large, voyage-4, voyage-4-lite - Shared embedding space for asymmetric retrieval - MoE architecture detection - **Quantization support**`--output-dtype` for int8/ubinary embeddings - **Dimensions parameter**`--dimensions` for reduced output dimensions ### Changed - Default model updated to voyage-4-lite - MODEL_CATALOG expanded with architecture info and benchmark scores ## [1.10.0] - 2026-01-25 ### Added - **`vai ingest`** — Bulk import from JSONL/JSON/CSV/text - Batching with configurable batch size - Progress bar and dry-run mode - Token estimation and cost preview - **`vai similarity`** — Compute cosine similarity without MongoDB - **`vai demo`** — Interactive guided walkthrough - ASCII banner when running `vai` with no arguments ### Changed - Improved error messages with actionable hints - Rate limit retry with exponential backoff (up to 3 attempts) ## [1.5.0] - 2026-01-20 ### Added - **PDF support** — Optional pdf-parse dependency for `vai pipeline` - **HTML stripping** — Automatic for .html files - **Readers module** — Unified file reading with type detection - **Directory scanning** — Recursive with extension filtering ### Fixed - JSONL parsing edge cases - Empty chunk handling ## [1.1.0] - 2026-01-15 ### Added - **`vai config`** — Persistent config management (`~/.vai/config.json`) - `set`, `get`, `delete`, `path`, `reset` subcommands - Secrets masked in output, config file chmod 600 - `--stdin` flag for secure key input - **`vai ping`** — Test API and MongoDB connectivity - `.env` file support via dotenv - Colored output with picocolors - Animated spinners on network operations - npm update notifier (daily, non-blocking) - GitHub Actions CI (Node 18, 20, 22) ### Fixed - `rerank` endpoint corrected to `/v1/rerank` - `index create` parseInt handling for dimensions ## [1.0.0] - 2026-01-10 ### Added - **`vai embed`** — Generate embeddings (text, file, stdin, bulk) - **`vai rerank`** — Rerank documents with relevance scoring - **`vai store`** — Embed and insert into MongoDB Atlas - **`vai search`** — $vectorSearch with pre-filter support - **`vai index`** — Create, list, delete Atlas Vector Search indexes - **`vai models`** — List available Voyage AI models with pricing - REST API integration with `https://ai.mongodb.com/v1/` - MongoDB Atlas Vector Search integration - API retry on 429 with exponential backoff - `--json` and `--quiet` flags on all commands - 50+ unit tests - MIT license