from dspy_retrieve_iris import IRISVectorRM
iris_retriever = IRISVectorRM(
db_args = {'hostname':'localhost', 'port':51776, 'namespace':'VECTOR', 'username':keys.db_user, 'password':keys.db_password},
iris_embedding_table_name = 'RAG_COQA.QandA',
iris_embedding_fields = ['QuestionEmbedding'],
iris_embedding_key = 'StoryId',
iris_data_table_name = 'RAG_COQA.Story',
iris_data_fields = ['Story', 'Source'],
iris_data_key = 'ID',
embedding_model = 'avsolatorio/GIST-Embedding-v0',
k = 10,
include_similarity = False
)
import dspy
gpt_turbo = dspy.OpenAI(model="gpt-3.5-turbo")
dspy.settings.configure(
lm=gpt_turbo,
rm=iris_retriever
)
dspy-iris-retriever's Introduction
dspy-iris-retriever's People
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