# Changelog
## 1.0.0 (2026-01-02)
- **Locally generated embeddings are now default**. If you want to continue using API embeddings, set EMBEDDING_BACKEND to openai. This will download a ONNX model and recreate all embeddings. But in most instances it's very worth it. Removing the network bound call to create embeddings. Creating embeddings on my N100 device is extremely fast. Typically a search response is provided in less than 50ms. 
- Added a benchmarks create for evaluating the retrieval process
- Added fastembed embedding support, enables the use of local CPU generated embeddings, greatly improved latency if machine can handle it. Quick search has vastly better accuracy and is much faster, 50ms latency when testing compared to minimum 300ms.
- Embeddings stored on own table.
- Refactored retrieval pipeline to use the new, faster and more accurate strategy. Read [blog post](https://blog.stark.pub/posts/eval-retrieval-refactor/) for more details.

## Version 0.2.7 (2025-12-04)
- Improved admin page, now only loads models when specifically requested. Groundwork for coming configuration features.
- Fix: timezone aware info in scratchpad

## Version 0.2.6 (2025-10-29)
- Added an opt-in FastEmbed-based reranking stage behind `reranking_enabled`. It improves retrieval accuracy by re-scoring hybrid results.
- Fix: default name for relationships harmonized across application

## Version 0.2.5 (2025-10-24)
- Added manual knowledge entity creation flows using a modal, with the option for suggested relationships
- Scratchpad feature, with the feature to convert scratchpads to content.
- Added knowledge entity search results to the global search
- Backend fixes for improved performance when ingesting and retrieval

## Version 0.2.4 (2025-10-15)
- Improved retrieval performance. Ingestion and chat now utilizes full text search, vector comparison and graph traversal.
- Ingestion task archive

## Version 0.2.3 (2025-10-12)
- Fix changing vector dimensions on a fresh database (#3)

## Version 0.2.2 (2025-10-07)
- Support for ingestion of PDF files
- Improved ingestion speed
- Fix deletion of items work as expected
- Fix enabling GPT-5 use via OpenAI API

## Version 0.2.1 (2025-09-24)
- Fixed API JSON responses so iOS Shortcuts integrations keep working.

## Version 0.2.0 (2025-09-23)
- Revamped the UI with a neobrutalist theme, better dark mode, and a D3-based knowledge graph.
- Added pagination for entities and content plus new observability metrics on the dashboard.
- Enabled audio ingestion and merged the new storage backend.
- Improved performance, request filtering, and journalctl/systemd compatibility.

## Version 0.1.4 (2025-07-01)
- Added image ingestion with configurable system settings and updated Docker Compose docs.
- Hardened admin flows by fixing concurrent API/database calls and normalizing task statuses.

## Version 0.1.3 (2025-06-08)
- Added support for AI providers beyond OpenAI.
- Made the HTTP port configurable for deployments.
- Smoothed graph mapper failures, long content tiles, and refreshed project documentation.

## Version 0.1.2 (2025-05-26)
- Introduced full-text search across indexed knowledge.
- Polished the UI with consistent titles, icon fallbacks, and improved markdown scrolling.
- Fixed search result links and SurrealDB vector formatting glitches.

## Version 0.1.1 (2025-05-13)
- Added streaming feedback to ingestion tasks for clearer progress updates.
- Made the data storage path configurable.
- Improved release tooling with Chromium-enabled Nix flakes, Docker builds, and migration/template fixes.

## Version 0.1.0 (2025-05-06)
- Initial release with a SurrealDB-backed ingestion pipeline, job queue, vector search, and knowledge graph storage.
- Delivered a chat experience featuring streaming responses, conversation history, markdown rendering, and customizable system prompts.
- Introduced an admin console with analytics, registration and timezone controls, and job monitoring.
- Shipped a Tailwind/daisyUI web UI with responsive layouts, modals, content viewers, and editing flows.
- Provided readability-based content ingestion, API/HTML ingress routes, and Docker/Docker Compose tooling.