Updates
DocsChangelog
A history of VectraDocs features and improvements.
Performance & Transparency Update ⚡
Faster AI responses and improved transparency showing what data is being used.
Removed LangChain
Direct API calls for faster response times (~200-500ms improvement)
Source References Display
Shows "Referring → Page Name" for each document used by AI
Highlights
- Faster AI response streaming
- Transparent source references in chat
- Reduced dependencies
- Pre-warmed Orama DB on startup
Product Hunt Launch 🚀
VectraDocs is now live on Product Hunt! We are excited to share our AI-powered documentation tool with the community.
Official Launch
We are featured! Check out our launch page, leave a comment, and support the project.
Highlights
- Featured on Product Hunt
- Community Release
- New Home Page Badge
Packages
Major Release 🚀
New framework plugins and backend support for VectraDocs.
Three Framework Plugins
VitePress, Docusaurus, and Scalar/Web Component support
Backend CLI Tool
npx create-vetradocs-backend@latest for instant setup
Premium UI
Dark mode, floating command bar, rich markdown rendering
Enhanced AI Chat
Improved RAG with automatic documentation references
Highlights
- New VitePress, Docusaurus, and Scalar plugins
- Backend CLI for quick project setup
- Automatic documentation references in AI responses
- Relative URLs that work on any domain
- Client-side vector search with Orama
- Streaming AI responses
First Release
The initial release of VectraDocs with core AI chat functionality.
AI Chat with RAG
Context-aware AI assistant powered by Orama (LangChain removed in v1.0.2)
Core Architecture
Initial implementation of the RAG pipeline
Highlights
- Basic AI Chat
- Markdown indexing
- One-click code copying
Roadmap
🔜 Coming Soon
- Multi-language documentation support
- Custom AI personas
- Analytics dashboard
- Self-hosted vector database options
💡 Under Consideration
- VS Code extension
- Slack/Discord bot integration
- PDF documentation export
- Custom themes marketplace