* WIP on embedder selection
TODO: apply splitting and query prefixes (if applicable)
* wip on upsert
* Support base model
support nomic-text-embed-v1
support multilingual-e5-small
Add prefixing for both embedding and query for RAG tasks
Add chunking prefix to all vector dbs to apply prefix when possible
Show dropdown and auto-pull on new selection
* norm translations
* move supported models to constants
handle null seelction or invalid selection on dropdown
update comments
* dev
* patch text splitter maximums for now
* normalize translations
* add tests for splitter functionality
* normalize
---------
Co-authored-by: shatfield4 <seanhatfield5@gmail.com>
* PGVector support for vector db storage
* forgot files
* comments
* dev build
* Add ENV connection and table schema validations for vector table
add .reset call to drop embedding table when changing the AnythingLLM embedder
update instrutions
Add preCheck error reporting in UpdateENV
add timeout to pg connection
* update setup
* update README
* update doc
* feat: implement iam role auth for bedrock
* fix: make client refreshes properly when switching between iam_user and iam_role
* checkout agent flow
* fix aiprovider for bedrock in agent use
---------
Co-authored-by: timothycarambat <rambat1010@gmail.com>
* Fixed two primary issues discovered while using AWS Bedrock with Anthropic Claude Sonnet models:
- Context Window defaults to 8192 maximum, which isn't correct
- Multimodal stopped working when removing langchain, which was transparently handling image_url to a format sonnet expects.
* Ran `yarn lint`
* Updated .env.example to have aws bedrock examples too
* Refactor for readability
move utils for AWS specific functionality to subfile
add token output max to ENV so setting persits
---------
Co-authored-by: Tristan Stahnke <tristan.stahnke+gpsec@guidepointsecurity.com>
Co-authored-by: Timothy Carambat <rambat1010@gmail.com>
* Enable bypass of ip limitations via ENV in collector startup
resolves#3625
connect #3626
* dev build
* bump dockerx build action
* enable runtime setting config of collector requests
* comments and linting for option passing
* unset
* unset
* update docs link
* linting and docs
* Add multilingual support for ocr mudule
* Add OCR langauge as server var that is passed into Collector
Support all valid tesseract language codes
Filter and parse only valid codes with fallbacks'
* persist TARGET_OCR_LANG
* update docker example env
---------
Co-authored-by: Timothy Carambat <rambat1010@gmail.com>
* feat: add new model provider PPIO
* fix: fix ppio model fetching
* fix: code lint
* reorder LLM
update interface for streaming and chats to use valid keys
linting
---------
Co-authored-by: timothycarambat <rambat1010@gmail.com>
* add claude 3-7 sonnet
* made all the changes everywhere
* add 3-7-sonnet-latest model
* lint
---------
Co-authored-by: shatfield4 <seanhatfield5@gmail.com>
* Add support for Google Generative AI (Gemini) embedder
* Add missing example in docker
Fix UI key elements in options
Add Gemini to data handling section
Patch issues with chunk handling during embedding
* remove dupe in env
---------
Co-authored-by: timothycarambat <rambat1010@gmail.com>
* Add support for gemini authenticated models endpoint
add customModels entry
add un-authed fallback to default listing
separate models by expiermental status
resolves#2866
* add back improved logic for apiVersion decision making
* wip remove all docs clear vector db on embedder/vector db change
* purge all cached docs and remove docs from workspaces on vectordb/embedder change
* lint
* remove unneeded console log
* remove reset vector stores endpoint and move to server side updateENV with postUpdate check
* reset embed module
* remove unused import
* simplify deletion process
rescoped document deletion to be more general for speed, everything needs to be reset anyway
fixed issue where unembedded docs not in any workspaces, but cached, were not removed
* add back missing readme file
update warning text modals
---------
Co-authored-by: timothycarambat <rambat1010@gmail.com>
* wip hub connection page fe + backend
* lint
* implement backend for local hub items + placeholder endpoints to fetch hub app data
* fix hebrew translations
* revamp community integration flow
* change sidebar
* Auto import if id in URL param
remove preview in card screen and instead go to import flow
* get user's items + team items from hub + ui improvements to hub settings
* lint
* fix merge conflict
* refresh hook for community items
* add fallback for user items
* Disable bundle items by default on all instances
* remove translations (will complete later)
* loading skeleton
* Make community hub endpoints admin only
show visibility on items
combine import/apply for items to they are event logged for review
* improve middleware and import flow
* community hub ui updates
* Adjust importing process
* community hub to dev
* Add webscraper preload into imported plugins
* add runtime property to plugins
* Fix button status on imported skill change
show alert on skill change
Update markdown type and theme on import of agent skill
* update documentaion paths
* remove unused import
* linting
* review loading state
---------
Co-authored-by: Timothy Carambat <rambat1010@gmail.com>
* exposes `maxConcurrentChunks` parameter for the generic openai embedder through configuration. This allows setting a batch size for endpoints which don't support the default of 500
* Update new field to new UI
make getting to ensure proper type and format
---------
Co-authored-by: timothycarambat <rambat1010@gmail.com>
* feat: add new model provider: Novita AI
* feat: finished novita AI
* fix: code lint
* remove unneeded logging
* add back log for novita stream not self closing
* Clarify ENV vars for LLM/embedder seperation for future
Patch ENV check for workspace/agent provider
---------
Co-authored-by: Jason <ggbbddjm@gmail.com>
Co-authored-by: shatfield4 <seanhatfield5@gmail.com>
* Update OpenAI TTS config to allow a custom BaseURL
* uncheck config file
* break openai generic TTS into its own provider
* add space
* hide TTS on user msg
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Co-authored-by: Adam <phazei@gmail.com>
* Issue #1943: Add support for LLM provider - Fireworks AI
* Update UI selection boxes
Update base AI keys for future embedder support if needed
Add agent capabilites for FireworksAI
* class only return
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Co-authored-by: Aaron Van Doren <vandoren96+1@gmail.com>
