Grepai Troubleshooting

yoanbernabeu/grepai-skills/skills/advanced/grepai-troubleshooting

by yoanbernabeu382d40261c0d41109c6e11872574ba0be9b064d0No licenseListed Oct 9, 2026Updated Oct 9, 2026

Troubleshooting guide for GrepAI. Use this skill to diagnose and fix common issues.

Instructions onlySoftware Development
AI-generated overview

Diagnoses and fixes common GrepAI problems such as missing indexes, connection errors, and slow search.

What it does
This skill is a troubleshooting guide for GrepAI, a code search and indexing tool. It lists common symptoms, likely causes, and step-by-step fixes covering index creation, embedding provider connections, model downloads, search quality, stale indexes, configuration, performance, symbol tracing, MCP setup, memory use, and API key errors. It also provides diagnostic command sequences, a full reset procedure, and a suggested diagnostic summary output format.
When to use it
Use it when GrepAI is not working as expected, such as search returning poor or empty results, the index not updating, connection or configuration errors, slow indexing or searches, or MCP integration failures.
Requirements
Instructions only; no scripts are shipped. Following the guide assumes GrepAI is installed and may involve running GrepAI commands, Ollama or another embedding provider, optional OpenAI API credentials, and optional Qdrant or PostgreSQL storage backends.

GrepAI Troubleshooting

This skill provides solutions for common GrepAI issues and diagnostic procedures.

When to Use This Skill

  • GrepAI not working as expected
  • Search returning poor results
  • Index not updating
  • Connection or configuration errors

Quick Diagnostics

Run these commands to understand your setup:

bash
# Check GrepAI versiongrepai version
# Check project statusgrepai status
# Check Ollama (if using)curl http://localhost:11434/api/tags
# Check configcat .grepai/config.yaml

Common Issues


Issue: "Index not found"

Symptom:

Error: Index not found. Run 'grepai watch' first.

Cause: No index has been created for this project.

Solution:

bash
# Initialize if neededgrepai init
# Create the indexgrepai watch

Issue: "Cannot connect to embedding provider"

Symptom:

Error: Cannot connect to Ollama at http://localhost:11434

Causes:

  1. Ollama not running
  2. Wrong endpoint configured
  3. Firewall blocking connection

Solutions:

  1. Start Ollama:
bash
ollama serve
  1. Check endpoint in config:
yaml
embedder:  endpoint: http://localhost:11434  # Verify this
  1. Test connection:
bash
curl http://localhost:11434/api/tags

Issue: "Model not found"

Symptom:

Error: Model 'nomic-embed-text' not found

Cause: The embedding model hasn't been downloaded.

Solution:

bash
# Download the modelollama pull nomic-embed-text
# Verifyollama list

Issue: Search returns no results

Symptom: Searches return empty or very few results.

Causes:

  1. Index is empty
  2. Files are being ignored
  3. Query too specific

Solutions:

  1. Check index status:
bash
grepai status# Should show files > 0 and chunks > 0
  1. Verify files are being indexed:
bash
# Check ignore patterns in configcat .grepai/config.yaml | grep -A 20 "ignore:"
  1. Try broader query:
bash
grepai search "function"  # Very broad test

Issue: Search returns irrelevant results

Symptom: Results don't match what you're looking for.

Causes:

  1. Query too vague
  2. Boosting not configured
  3. Wrong content indexed

Solutions:

  1. Improve query (see grepai-search-tips skill):
bash
# Badgrepai search "auth"
# Goodgrepai search "user authentication middleware"
  1. Configure boosting to penalize tests:
yaml
search:  boost:    enabled: true    penalties:      - pattern: /tests/        factor: 0.5
  1. Check what's indexed:
bash
grepai status

Issue: Index is outdated

Symptom: Recent file changes aren't appearing in search results.

Causes:

  1. Watch daemon not running
  2. Debounce delay
  3. File not in indexed extensions

Solutions:

  1. Check daemon status:
bash
grepai watch --status
  1. Restart daemon:
bash
grepai watch --stopgrepai watch --background
  1. Force re-index:
bash
rm .grepai/index.gobgrepai watch

Issue: "Config not found"

Symptom:

Error: Config file not found at .grepai/config.yaml

Cause: GrepAI not initialized in this directory.

Solution:

bash
grepai init

Issue: Slow indexing

Symptom: Initial indexing takes very long.

Causes:

  1. Large codebase
  2. Slow embedding provider
  3. Not enough ignore patterns

Solutions:

  1. Add ignore patterns:
yaml
ignore:  - node_modules  - vendor  - dist  - build  - "*.min.js"
  1. Use faster model:
yaml
embedder:  model: nomic-embed-text  # Smaller, faster
  1. Use OpenAI for speed (if privacy allows):
yaml
embedder:  provider: openai  model: text-embedding-3-small  parallelism: 8

Issue: Slow searches

Symptom: Search queries take several seconds.

Causes:

  1. Very large index
  2. GOB storage on large codebase
  3. Embedding provider slow

Solutions:

  1. Check index size:
bash
ls -lh .grepai/index.gob
  1. For large indices, use Qdrant:
yaml
store:  backend: qdrant
  1. Limit results:
bash
grepai search "query" --limit 5

Issue: Trace not finding symbols

Symptom: grepai trace callers returns no results.

Causes:

  1. Function name spelled wrong
  2. Language not enabled for trace
  3. Symbols index out of date

Solutions:

  1. Check exact function name (case-sensitive)

  2. Enable language in config:

yaml
trace:  enabled_languages:    - .go    - .js    - .ts
  1. Re-build symbol index:
bash
rm .grepai/symbols.gobgrepai watch

Issue: MCP not working

Symptom: AI assistant can't use GrepAI tools.

Causes:

  1. MCP config incorrect
  2. GrepAI not in PATH
  3. Working directory wrong

Solutions:

  1. Test MCP server manually:
bash
grepai mcp-serve
  1. Check GrepAI is in PATH:
bash
which grepai
  1. Verify MCP config:
bash
# Claude Codecat ~/.claude/mcp.json
# Cursorcat .cursor/mcp.json

Issue: Out of memory

Symptom: GrepAI crashes or system becomes slow.

Causes:

  1. Large embedding model
  2. Very large index in GOB format
  3. Too many parallel requests

Solutions:

  1. Use smaller model:
yaml
embedder:  model: nomic-embed-text  # Smaller
  1. Use PostgreSQL or Qdrant instead of GOB

  2. Reduce parallelism:

yaml
embedder:  parallelism: 2

Issue: API key errors (OpenAI)

Symptom:

Error: 401 Unauthorized - Invalid API key

Solutions:

  1. Check environment variable:
bash
echo $OPENAI_API_KEY
  1. Ensure variable is exported:
bash
export OPENAI_API_KEY="sk-..."
  1. Check key format in config:
yaml
embedder:  api_key: ${OPENAI_API_KEY}  # Uses env var

Diagnostic Commands

Full System Check

bash
#!/bin/bashecho "=== GrepAI Diagnostics ==="
echo -e "\n1. Version:"grepai version
echo -e "\n2. Status:"grepai status
echo -e "\n3. Config:"cat .grepai/config.yaml 2>/dev/null || echo "No config found"
echo -e "\n4. Index files:"ls -la .grepai/ 2>/dev/null || echo "No .grepai directory"
echo -e "\n5. Ollama (if using):"curl -s http://localhost:11434/api/tags | head -5 || echo "Ollama not responding"
echo -e "\n6. Daemon:"grepai watch --status 2>/dev/null || echo "Daemon not running"

Reset Everything

If all else fails, complete reset:

bash
# Remove all GrepAI datarm -rf .grepai
# Re-initializegrepai init
# Start fresh indexgrepai watch

Getting Help

If issues persist:

  1. Check GrepAI documentation: https://yoanbernabeu.github.io/grepai/
  2. Search issues: https://github.com/yoanbernabeu/grepai/issues
  3. Create new issue with:
    • GrepAI version (grepai version)
    • OS and architecture
    • Config file (remove secrets)
    • Error message
    • Steps to reproduce

Output Format

Diagnostic summary:

🔍 GrepAI Diagnostics
Version: 0.24.0Project: /path/to/project
✅ Config: Found (.grepai/config.yaml)✅ Index: 245 files, 1,234 chunks✅ Embedder: Ollama (connected)✅ Daemon: Running (PID 12345)❌ Issue: [Description if any]
Recommended actions:1. [Action item]2. [Action item]

Source and attribution

Source:yoanbernabeu/grepai-skillsinskills/advanced/grepai-troubleshootingat commit382d402

License: No license

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