HANAMLinVectorEngine

class hana_ai.vectorstore.hana_vector_engine.HANAMLinVectorEngine(connection_context, table_name, schema=None, model_version='SAP_NEB.20240715')

HANA vector engine.

Parameters:

connection_context: ConnectionContext

Connection context.

table_name: str

Table name.

schema: str, optional

Schema name. Default to None.

model_version: str, optional

Model version. Default to 'SAP_NEB.20240715'.

Attributes:

columns

connection_context

table_name

vector_length

Methods

create_knowledge([option])	Create knowledge base.
get_knowledge()	Get knowledge dataframe.
query(input[, top_n, distance])	Query.
upsert_knowledge(knowledge)	Upsert knowledge.

get_knowledge()

Get knowledge dataframe.

create_knowledge(option='python')

Create knowledge base.

Parameters:

option: {'python', 'sql'}, optional

The option of language. Default to 'python'.

upsert_knowledge(knowledge)

Upsert knowledge.

Parameters:

knowledge: dict

Knowledge data. {'id': '1', 'description': 'description', 'example': 'example'}

query(input, top_n=1, distance='cosine_similarity')

Query.

Parameters:

input: str

Input text.

top_n: int, optional

Top n. Default to 1.

distance: str, optional

Distance. Default to 'cosine_similarity'.