November 24: Support for direct LLM prompt, multi-turn image analysis, bug fixes
Last updated
Last updated
Graphlit now supports multi-turn analysis of images with the reviseImage
and reviseEncodedImage
mutations. You can provide an LLM prompt and either a URI or Base-64 encoded image and MIME type, along with an optional LLM specification. This can be used for analyzing any image and having a multi-turn conversation with the LLM to revise the output from the LLM. (Colab Notebook Example)
Graphlit now supports directly prompting an LLM with the prompt
mutation, bypassing any RAG content retrieval, while providing an optional list of previous conversation messages. This also accepts an optional LLM specification. (Colab Notebook Example)
We have added support for the new Mistral Pixtral Large model, with PIXTRAL_LARGE
model enum, which can be used with LLM completion or entity extraction LLM specifications.
We have added support for the OpenAI 2024-11-20 version of GPT-4o, with GPT4O_128K_20241120
model enum.
We have added Microsoft Entra ID (fka Azure Active Directory) clientId
and clientSecret
properties to the SharePointFeedPropertiesInput
type, which are now required when creating a SharePoint feed using user authentication with refreshToken
property. (Colab Notebook Example)
GPLA-3438: Not filtering on desktop presentation when scraping web pages
GPLA-3340: Failed to parse invalid JSON from extracted PDF page
GPLA-3427: Not formatting extracted tables properly from Sonnet 3.5