The Document Vector Database Connected System enables Large Language Models (LLMs) to answer user submitted questions based on Appian Knowledge Center Documents. By uploading documents to this connected system, users can perform semantic searches to pinpoint the most pertinent content related to their questions. The Connected System also boasts Client APIs tailored for the AI Knowledge Assistant Component. This allows the AI Knowledge Assistant Component to deliver AI generated answers to user inquiries sourced from documents stored in the database, as well as general questions.
Key Features & Functionality
Note: Download the AI Knowledge Assistant, a sophisticated chatbot designed to perform semantic searches across your documents and provide precise answers to your queries.
Hi Julian Grunauer
The generated doc has create user username DDL command , where does it creates the user with the given username and password? Where can we check ?
Hi Julian Grunauer ,
Kindly answer the below questions:
Kindly let me know if we have correct understanding.
Is there any size limitation to the the embedded database that stored the vectors? Does the embedded db stored in APPIAN Cloud?
Thanks for reporting this; the issue is now resolved. Please update the connected system to V1.0.4.
Tried with both OpenAI and Azure Connected System, both results in successful connection, but integration throws error as mentioned above.
I am getting following error while upload a document using the connected system. Can anybody help me on this?
Simply search for the name you gave the database in the connected system by using the Appian objects search. This will allow you to find the embedded database document and the constant pointing to that document. If you want to create a new database with new documents, simply make a new connected system and name the database something different.
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