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The issue with node IDs not being found during retrieval, despite being present in the metadata, could be attributed to several factors:
The failure to create a diagnostic table could be due to:
For a more detailed analysis, consider examining the source code related to the PostgreSQL vector store and core storage types in the LlamaIndex repository. Specifically, look into the PostgreSQL Vector Store Base and Core Storage Types files for insights into potential issues with node ID retrieval and table creation. If you encounter specific error messages or need further clarification, providing those details can help in offering a more precise solution.
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Hi,
I'm working on an ingestion pipeline connected to a PostgreSQL vector database (pgvector), but I'm encountering an issue where some files can be accessed and others cannot. Despite the metadata in pgvector showing the node ID for all documents, those missing in retrieval seem not to find the node ID. I've tried creating a table to show the first row to diagnose the mismatch, but even that fails.
Here's an overview of what the setup involves without specific details:
Could you help me troubleshoot why the node ID might not be found during retrieval despite being present in the metadata according to the logs? Additionally, any tips on why creating a diagnostic table fails would be greatly appreciated.
parts of my code
Importing the required libraries
import logging
import psycopg2
from pathlib import Path
import json
Setup logger for debugging
logging.basicConfig(filename='ingestion.log', level=logging.DEBUG, format='%(asctime)s - %(levelname)s - %(message)s')
Database connection parameters (Placeholder values)
conn_params = {
"dbname": "<your_database_name>",
"user": "<your_username>",
"password": "<your_password>",
"host": "<your_host>",
"port": "<your_port>"
}
Function to handle document metadata
def handle_document_metadata(doc):
# Check if '_node_content' is in the document metadata and parse it
if '_node_content' in doc.metadata:
try:
node_content = json.loads(doc.metadata['node_content'])
doc.metadata['id'] = node_content.get('id', None)
if doc.metadata['id'] is None:
logging.error("No 'id' found in _node_content for document")
except json.JSONDecodeError as e:
logging.error(f"JSON decoding error in _node_content: {str(e)}")
Example function to connect to the database and print settings
def get_database_connection():
try:
conn = psycopg2.connect(**conn_params)
logging.info("Successfully connected to the database.")
return conn
except psycopg2.Error as e:
logging.error(f"Error connecting to database: {e}")
return None
Main function to initiate process (simplified)
def main():
# Example path setup (generic placeholder)
base_directory_path = Path('/path/to/your/data')
documents = load_documents(base_directory_path)
conn = get_database_connection()
if conn and documents:
process_documents(documents, conn)
if conn:
conn.close()
if name == "main":
main()
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