* Implement use of native embedder (all-Mini-L6-v2)
stop showing prisma queries during dev
* Add native embedder as an available embedder selection
* wrap model loader in try/catch
* print progress on download
* add built-in LLM support (expiermental)
* Update to progress output for embedder
* move embedder selection options to component
* saftey checks for modelfile
* update ref
* Hide selection when on hosted subdomain
* update documentation
hide localLlama when on hosted
* saftey checks for storage of models
* update dockerfile to pre-build Llama.cpp bindings
* update lockfile
* add langchain doc comment
* remove extraneous --no-metal option
* Show data handling for private LLM
* persist model in memory for N+1 chats
* update import
update dev comment on token model size
* update primary README
* chore: more readme updates and remove screenshots - too much to maintain, just use the app!
* remove screeshot link
* Implement use of native embedder (all-Mini-L6-v2)
stop showing prisma queries during dev
* Add native embedder as an available embedder selection
* wrap model loader in try/catch
* print progress on download
* Update to progress output for embedder
* move embedder selection options to component
* forgot import
* add Data privacy alert updates for local embedder
* allow use of any embedder for any llm/update data handling modal
* Apply embedder override and fallback to OpenAI and Azure models
---------
Co-authored-by: timothycarambat <rambat1010@gmail.com>
* feature: add LocalAI as llm provider
* update Onboarding/mgmt settings
Grab models from models endpoint for localai
merge with master
* update streaming for complete chunk streaming
update localAI LLM to be able to stream
* force schema on URL
---------
Co-authored-by: timothycarambat <rambat1010@gmail.com>
Co-authored-by: tlandenberger <tobiaslandenberger@gmail.com>
* Using OpenAI API locally
* Infinite prompt input and compression implementation (#332)
* WIP on continuous prompt window summary
* wip
* Move chat out of VDB
simplify chat interface
normalize LLM model interface
have compression abstraction
Cleanup compressor
TODO: Anthropic stuff
* Implement compression for Anythropic
Fix lancedb sources
* cleanup vectorDBs and check that lance, chroma, and pinecone are returning valid metadata sources
* Resolve Weaviate citation sources not working with schema
* comment cleanup
* disable import on hosted instances (#339)
* disable import on hosted instances
* Update UI on disabled import/export
---------
Co-authored-by: timothycarambat <rambat1010@gmail.com>
* Add support for gpt-4-turbo 128K model (#340)
resolves#336
Add support for gpt-4-turbo 128K model
* 315 show citations based on relevancy score (#316)
* settings for similarity score threshold and prisma schema updated
* prisma schema migration for adding similarityScore setting
* WIP
* Min score default change
* added similarityThreshold checking for all vectordb providers
* linting
---------
Co-authored-by: shatfield4 <seanhatfield5@gmail.com>
* rename localai to lmstudio
* forgot files that were renamed
* normalize model interface
* add model and context window limits
* update LMStudio tagline
* Fully working LMStudio integration
---------
Co-authored-by: Francisco Bischoff <984592+franzbischoff@users.noreply.github.com>
Co-authored-by: Timothy Carambat <rambat1010@gmail.com>
Co-authored-by: Sean Hatfield <seanhatfield5@gmail.com>
* WIP on continuous prompt window summary
* wip
* Move chat out of VDB
simplify chat interface
normalize LLM model interface
have compression abstraction
Cleanup compressor
TODO: Anthropic stuff
* Implement compression for Anythropic
Fix lancedb sources
* cleanup vectorDBs and check that lance, chroma, and pinecone are returning valid metadata sources
* Resolve Weaviate citation sources not working with schema
* comment cleanup
* WIP Anythropic support for chat, chat and query w/context
* Add onboarding support for Anthropic
* cleanup
* fix Anthropic answer parsing
move embedding selector to general util
* Remove LangchainJS for chat support chaining
Implement runtime LLM selection
Implement AzureOpenAI Support for LLM + Emebedding
WIP on frontend
Update env to reflect the new fields
* Remove LangchainJS for chat support chaining
Implement runtime LLM selection
Implement AzureOpenAI Support for LLM + Emebedding
WIP on frontend
Update env to reflect the new fields
* Replace keys with LLM Selection in settings modal
Enforce checks for new ENVs depending on LLM selection
* improve citations to show all text chunks referred and expand the citation to view full referenced text
chunk text of same document together
* remove debug
* refactor: convert chunk embedding to one API call
* chore: lint
* fix chroma for batch and single vectorization of text
* Fix LanceDB multi and single vectorization
* Fix pinecone for single and multiple embeddings
---------
Co-authored-by: Jonathan Waltz <volcanicislander@gmail.com>
* Add chat/converstaion mode as the default chat mode
Show menu for toggling options for chat/query/reset command
Show chat status below input
resolves#61
* remove console logs
* add start of lanceDB support
* lancedb initial support
* add null method for deletion of documents from namespace since LanceDB does not support
show warning modal on frontend for this
* update .env.example and lancedb methods for sourcing
* change export method
* update readme
