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#5211 - AI assistant prototype #5212
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- Initial AI assistant implementation accessible on the annotation page as a sidebar - Basic access to documents in the project via RAG - Limited access to user manual via RAG - Updates to the user manual - Some tests - Documentation of the early AI assistant - Refactoring of the Ollama support
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- Fix displaying indexing progress on the bulk processing page - Added re-index button to assistant sidebar - Normalize embeddings and use dot product instead of cosine when indexing/searching - Allow suspending background tasks for a project - During project import and project initialization from a template, suspend background tasks - During indexing, embed in batches - Fix timing logging for embeddings - Allow auto-detecting the embedding dimensions - Allow using embeddings with a dimension higher than 1024
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- Added button to clear conversation - Aggregate units (sentences) into larger chunks when indexing - Extract embedding stuff into a separate service and make tokenizer/encoding configurable
- Implement conversation clearing as protocol command
- Factor retrievers out into own classes and introduce an extension point for them - Introduce a chunker interface - Add source information to chunks
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- UI style changes - Some classes renameed - Added time info in assistant messages
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- Fix issue when search index has not been initialized when project is being deleted
- Update settings documentation - Adjust parameters for embedding - Lay groundworks for source attribution
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- Update settings documentation - Adjust parameters for embedding - Allow assistant to provide attribution to document context used in responses - Allow specifying a document when using the DIAM scrollTo function
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What's in the PR
How to test manually
llama.3.2
andgranite-embedding
models loadedAutomatic testing
Documentation