Search GitHub - Semantic Search for GitHub Content

Search the discussions collection for GitHub-sourced content using semantic similarity with advanced filtering.

Activation

# Basic semantic search
/aim-github-search "authentication bug"

# Filter by type
/aim-github-search "API refactoring" --type github_pr
/aim-github-search "CI failures" --type github_ci_result

# Filter by state
/aim-github-search "deployment fix" --state merged

# Combine filters
/aim-github-search "security" --type github_issue --limit 10

Options

• --type <type> - Filter by GitHub document type: github_issue, github_pr, github_commit, github_ci_result, github_code_blob, github_issue_comment, github_pr_review, github_pr_diff
• --state <state> - Filter by state: open, closed, merged
• --limit <n> - Maximum results to return (default: 5)

Result Format

Each result includes:

• GitHub URL - Direct link
• Metadata badges - Type, State, Date
• Content snippet - First ~300 characters
• Relevance score - Semantic similarity with decay (0-100%)

---

Qdrant Connection Details

GitHub content is stored in the discussions collection:

Parameter	Value
Host	localhost
Port	26350 (NOT the default 6333)
API Key	Required. Read from env: QDRANT_API_KEY
Collection	discussions
URL	http://localhost:26350

---

Qdrant Payload Schema

Every GitHub point in discussions has the following payload fields. Use these exact names for filtering.

Common Fields (all GitHub points)

Field	Type	Description	Example
content	string	Composed document text	"[PR #42] Add decay scoring..."
type	string	Document type	"github_pr", "github_issue"
source	string	Always "github"	"github"
group_id	string	normalized lowercase owner/repo	"hidden-history/ai-memory"
github_id	int	Issue/PR number	42
state	string	Current state	"open", "closed", "merged"
url	string	GitHub URL	"https://github.com/..."
github_updated_at	string	ISO 8601 from GitHub API	"2026-02-16T..."
files_changed	list[string]	Files touched (PRs, commits)	["src/memory/decay.py"]
labels	list[string]	Issue/PR labels	["bug", "v2.0.6"]
merged_at	string or null	PR merge timestamp	"2026-02-16T..."
is_current	bool	Versioning: latest version	true

---

Direct Query Examples

Use query.py for direct Qdrant queries. The script applies source=github automatically and accepts optional --type, --state, --limit, and --format flags.

Search by source

# Replace "owner/repo-name" with your GITHUB_REPO value (e.g., "hidden-history/ai-memory")
bash "${AI_MEMORY_INSTALL_DIR:-$HOME/.ai-memory}/scripts/memory/run-with-env.sh" \
  "${AI_MEMORY_INSTALL_DIR:-$HOME/.ai-memory}/_ai-memory/skills/aim-github-search/scripts/query.py" \
  --group-id "owner/repo-name" --collection github

Filter by type and state

# Replace "owner/repo-name" with your GITHUB_REPO value
bash "${AI_MEMORY_INSTALL_DIR:-$HOME/.ai-memory}/scripts/memory/run-with-env.sh" \
  "${AI_MEMORY_INSTALL_DIR:-$HOME/.ai-memory}/_ai-memory/skills/aim-github-search/scripts/query.py" \
  --group-id "owner/repo-name" --type github_pr --state merged --limit 20 --collection github

Count GitHub points in collection

# Returns the exact count via the Qdrant count endpoint (exact=true)
bash "${AI_MEMORY_INSTALL_DIR:-$HOME/.ai-memory}/scripts/memory/run-with-env.sh" \
  "${AI_MEMORY_INSTALL_DIR:-$HOME/.ai-memory}/_ai-memory/skills/aim-github-search/scripts/query.py" \
  --group-id "owner/repo-name" --format count --collection github

---

Query Script Reference

The parameterized query script at _ai-memory/skills/aim-github-search/scripts/query.py implements the source=github + group_id filter pattern. It accepts:

python3 query.py \
  --group-id GROUP_ID          # required; e.g. "hidden-history/ai-memory"
  [--type TYPE]                # github_issue | github_pr | github_commit |
                               #   github_ci_result | github_code_blob |
                               #   github_issue_comment | github_pr_review | github_pr_diff
  [--state STATE]              # open | closed | merged
  [--limit N]                  # default: 10
  [--format table|json|count]  # default: table; count uses Qdrant count endpoint (exact=true)
  [--collection COLL]          # default: discussions

Run via run-with-env.sh so memory.* imports and QDRANT_API_KEY are resolved automatically:

bash "${AI_MEMORY_INSTALL_DIR:-$HOME/.ai-memory}/scripts/memory/run-with-env.sh" \
  "${AI_MEMORY_INSTALL_DIR:-$HOME/.ai-memory}/_ai-memory/skills/aim-github-search/scripts/query.py" \
  --group-id "hidden-history/ai-memory" --type github_pr --state merged --collection github

Technical Details

• Semantic Search: Uses jina-embeddings-v2-base-en for vector similarity
• Tenant Isolation: Mandatory group_id filter prevents cross-repo leakage
• Performance: < 2s for typical searches
• Collection: discussions (GitHub content stored alongside conversation data)
• Score Threshold: Configurable via SIMILARITY_THRESHOLD (default 0.7)
• Port: 26350 (NOT the Qdrant default of 6333)
• API Key: Required -- stored in ~/.ai-memory/docker/.env as QDRANT_API_KEY
• Decay Scoring: Applied to results via existing search path

Notes

• GitHub repo is auto-detected from project configuration
• Results sorted by relevance score (highest first)
• All filters are optional except the search query
• Use exact field names from the schema above -- source NOT namespace, type NOT doc_type
• The source="github" filter is always applied to restrict results to GitHub content
• The group_id filter is always applied for mandatory tenant isolation (prevents cross-repo leakage)