FAI_RAG_DOC_CHUNK_EMBEDDINGS_A

Fusion AI Rag Document Chunk Embeddings.

Details

  • Schema: FUSION

  • Object owner: FAI

  • Object type: TABLE

  • Tablespace: FAI_RAG_DOC_CHUNK_EMBEDDINGS_A

Primary Key

Name Columns

FAI_RAG_DOC_CHNK_EMDB_A_PK

CHUNK_EMBEDDINGS_ID

Columns

Name Datatype Length Precision Not-null Comments
USE_CASE_PARTITION VARCHAR2 400 Partitioning key based on use case segmentations.
USE_CASE_ID VARCHAR2 100 Yes Use case ID. The usual structure is "aa.bb.cc".
CHUNK_EMBEDDINGS_ID NUMBER 18 Yes Primary key. Unique identifer for the chunk embeddings.
CHUNK_METADATA_ID NUMBER 18 Yes Unique identifier for the chunk metadata. Primary key - fai_rag_doc_chunk_metadata table.
CHUNK_ID NUMBER 18 Yes Unique identifier for the chunk.
CHUNK_EMBEDDINGS VECTOR Generated embeddings for the chunk.
EMBEDDINGS_GENERATION_DATE TIMESTAMP Date embeddings are generated.
EMBEDDINGS_STATUS VARCHAR2 30 Status of the embedding. Completed, Inprogress
RETRY_COUNT NUMBER 2 Retry count. This returns the number of times system tried to generate the embeddings.
OBJECT_VERSION_NUMBER NUMBER 9 Yes Used to implement optimistic locking. This number is incremented every time that the row is updated. The number is compared at the start and end of a transaction to detect whether another session has updated the row since it was queried.
CREATED_BY VARCHAR2 64 Yes Who column: indicates the user who created the row.
CREATION_DATE TIMESTAMP Yes Who column: indicates the date and time of the creation of the row.
LAST_UPDATED_BY VARCHAR2 64 Yes Who column: indicates the user who last updated the row.
LAST_UPDATE_DATE TIMESTAMP Yes Who column: indicates the date and time of the last update of the row.
LAST_UPDATE_LOGIN VARCHAR2 32 Who column: indicates the session login associated to the user who last updated the row.

Indexes

Index Uniqueness Tablespace Columns
FAI_RAG_DOC_CHNK_EMBD_A_PK Unique FAI_RAG_DOC_CHNK_EMBD_A_PK CHUNK_EMBEDDINGS_ID