How do I check if my LlamaFarm services are running correctly?

You can use the 'lf services status' command provided by this skill to see a real-time health check of the server, RAG workers, and API endpoints.

Can this skill help with 'Model not found' errors?

Yes, it includes model diagnostic steps to verify your Ollama installation, check available models, and ensure the local LLM runner is accessible to LlamaFarm.

Why am I getting empty or poor results from my RAG queries?

Use the RAG diagnostic commands to verify database health and test manual queries with the 'lf rag query' command to check if the issue lies in the retrieval or the embedding process.

What should I do if document processing is stuck?

Review the ingestion-specific logs using 'lf services logs --service rag' to identify worker failures, resource exhaustion, or file format issues.

LlamaFarm Debugging

Name: LlamaFarm Debugging
Author: llama-farm

byllama-farm

分析与监控

Diagnoses and resolves service failures, RAG bottlenecks, and model connectivity issues within the LlamaFarm ecosystem.

关于

LlamaFarm Debugging is a specialized utility designed to streamline troubleshooting for LlamaFarm users, providing structured workflows to identify and fix common system errors. It offers a comprehensive suite of diagnostic tools for checking service health, analyzing real-time logs, validating configurations, and auditing RAG retrieval quality. Whether you are facing 'connection refused' errors, document processing failures, or poor LLM response times, this skill provides the systematic guidance and automated commands needed to restore optimal performance.

主要功能

Real-time service health monitoring and status checks for all components
0 GitHub stars
Step-by-step troubleshooting workflows for 4xx/5xx errors and model timeouts
Deep log analysis with specialized filtering for server and RAG workers
Automated RAG diagnostic queries and vector database health assessments
Configuration validation for llamafarm.yaml to prevent deployment errors

使用场景

Diagnosing slow RAG response times and retrieval inaccuracies
Resolving connectivity issues between LlamaFarm and local LLM runners like Ollama
Troubleshooting failed document ingestion or stuck processing workers

关于

主要功能

Real-time service health monitoring and status checks for all components
0 GitHub stars
Step-by-step troubleshooting workflows for 4xx/5xx errors and model timeouts
Deep log analysis with specialized filtering for server and RAG workers
Automated RAG diagnostic queries and vector database health assessments
Configuration validation for llamafarm.yaml to prevent deployment errors

使用场景

Diagnosing slow RAG response times and retrieval inaccuracies
Resolving connectivity issues between LlamaFarm and local LLM runners like Ollama
Troubleshooting failed document ingestion or stuck processing workers