Document Vector Database

Hi can I know where the data is getting stored here and while use if azure open ai connection i not getting response

The data is being stored in an embedded database represented as an Appian Document which is created when your click "Test Connection" in the connected system. This database will store chunks of document text along with their embeddings. The user's query will bring up the top most relevant chunks from the database.

Feel free to post the error you are receiving from Azure and I can try and help you debug.

Hi Julian Grunauer ,

Kindly answer the below questions:

• Is there any external vector DB involved here where we can see our document embeddings?
• In Appian as soon as we test connection this generated a database file, inside that DB we have lots of DDL, statements, and doc metadata, some chunks - who is responsible for triggers of that SQL?
• Once embedded doc is generated , whatever documents we upload to vector DB via integration, those embedding gets stored in that same document only right , there is no other table/document involved in which we do indexing against our prompts? 

Kindly let me know if we have correct understanding.

Thanks

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. 

Can we see where are they stored physically or the only way is to query them?

All data is being stored in a native H2 database represented as an Appian Document. Embeddings are created using OpenAI/Azure, but all embeddings/text chunks are stored within the Appian environment. 

Can I know where the embedded database is there is it like appian  cloud db instance or just representing a vector DB like pinecone ,can we physically see that? As it is the main concern to build private Ai. Thank you.

Can I know where the embedded database is there is it like appian  cloud db instance or just representing a vector DB like pinecone ,can we physically see that? As it is the main concern to build private Ai. Thank you.

Hi Julian Grunauer ,

Kindly answer the below questions:

• Is there any external vector DB involved here where we can see our document embeddings?
• In Appian as soon as we test connection this generated a database file, inside that DB we have lots of DDL, statements, and doc metadata, some chunks - who is responsible for triggers of that SQL?
• Once embedded doc is generated , whatever documents we upload to vector DB via integration, those embedding gets stored in that same document only right , there is no other table/document involved in which we do indexing against our prompts? 

Kindly let me know if we have correct understanding.

Thanks

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. 

Can we see where are they stored physically or the only way is to query them?

All data is being stored in a native H2 database represented as an Appian Document. Embeddings are created using OpenAI/Azure, but all embeddings/text chunks are stored within the Appian environment.