- Add new "vision" chat mode to the application
- Implement the `visionChatMode` function to handle vision-based chat interactions
- Update the UI to include a new button to toggle the vision chat mode
- Add new translations for the "vision" chat mode tooltip
- Disable certain UI elements when the vision chat mode is active
- Update the styles and layout of the "New Chat" and dropdown buttons in the NewChat component
- Rounded the buttons to match the design
- Adjusted the spacing and alignment of the button elements
- Ensured consistent styling between light and dark modes
This commit includes the following improvements:
- Update the `memoryEmbedding` function to use the `PAMemoryVectorStore` instead of the generic `MemoryVectorStore`. This ensures that the vector store is specifically designed for the Page Assist application.
- Modify the `useMessage` hook to use the `PAMemoryVectorStore` type for the `keepTrackOfEmbedding` state.
- Update the `rerankDocs` function to use the `EmbeddingsInterface` type instead of the deprecated `Embeddings` type.
- Add a new `PageAssistVectorStore` class that extends the `VectorStore` interface and provides a custom implementation for the Page Assist application.
These changes improve the handling of memory embeddings and vector stores, ensuring better compatibility and performance within the Page Assist application.
This commit extends the `MessageSource` component to support the `chat` mode in addition to the existing `rag` mode. This allows the component to handle and display messages from both chat and RAG (Rapid Automated Generation) sources.
This commit enhances the `PageAssistSelect` component with the following improvements:
- Adds a `ref` to the options container to automatically scroll to the selected option when the dropdown is opened.
- Fixes an issue where the `selectedOption` was not being correctly determined when the `options` array was updated.
- Improves the rendering of the selected option, ensuring that the loading state, placeholder, and selected option are displayed correctly.
- Adds a `data-value` attribute to the option elements to facilitate scrolling to the selected option.
These changes improve the overall user experience and functionality of the `PageAssistSelect` component.
This commit introduces a new `PageAssistSelect` component to the header, which replaces the previous `Select` component for selecting the active chat model. The new component provides improved functionality, including:
- Ability to display provider icons alongside the model name
- Truncation of long model names to ensure they fit within the available space
- Improved loading state handling
- Ability to refresh the model list on demand
These changes enhance the user experience and make it easier for users to quickly select the desired chat model.
Adds error handling to the `updateMessageByIndex` function to prevent the temporary chat from breaking when an error occurs during the update process. This ensures a more robust and reliable experience for users.
This commit addresses an issue where temporary chat history was not being updated correctly when using voice input.
The `setHistoryId` function is now called within the `saveMessageOnError` function to ensure that the history ID is set correctly when a message is saved.
This commit introduces a more efficient approach to fetching ollama2 models, ensuring proper filtering and handling of providers. This enhances the robustness and reliability of the model loading process, streamlining the overall user experience.
Expanded the list of providers for which models are fetched dynamically to include Ollama and Llamafile, removing the need for manual model addition in the user interface for these providers. This simplifies the user experience and ensures users always have access to the latest models without manual intervention.
Adds support for using Ollama 2 as a model provider. This includes:
- Adding Ollama 2 to the list of supported providers in the UI
- Updating the model identification logic to properly handle Ollama 2 models
- Modifying the model loading and runtime configuration to work with Ollama 2
- Implementing Ollama 2 specific functionality in the embedding and chat models
This change allows users to leverage the capabilities of Ollama 2 for both embeddings and conversational AI tasks.
