memory_tools.py

Source: sunholo/vertex/memory_tools.py

Functions

get_google_search_grounding(vector_name: str = None, config: sunholo.utils.config_class.ConfigManager = None)

No docstring available.

get_vertex_memories(config: sunholo.utils.config_class.ConfigManager)

Retrieves a LlamaIndex corpus from Vertex AI based on the provided Google Cloud configuration.

This function constructs a corpus name using project details from the configuration and attempts to fetch the corresponding corpus. If the corpus cannot be retrieved, it raises an error.

Parameters:

• vector_name: The name of the of VAC

Returns:

• List of corpus objects fetched from Vertex AI.

Raises:

• ValueError: If any of the required configurations (project_id, location, or rag_id) are missing, or if the corpus cannot be retrieved.

Example:

# Fetch the corpus
try:
    corpus = get_corpus("edmonbrain")
    print("Corpus fetched successfully:", corpus)
except ValueError as e:
    print("Error fetching corpus:", str(e))

print_grounding_response(response)

Prints Gemini response with grounding citations.