Initial commit: Oracle AI research pipeline (adapters, pipeline, summarize, query)

Source-controlled baseline before Phase 5 cron. Excludes oracle.db,
logs/, and __pycache__ via .gitignore. Pipeline verified running
clean end-to-end (run_log write confirmed before conn.close()).

schema.sql

@@ -0,0 +1,33 @@
+CREATE TABLE IF NOT EXISTS entries (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    source TEXT NOT NULL,
+    source_id TEXT NOT NULL,
+    url TEXT,
+    title TEXT,
+    extracted_text TEXT,
+    summary TEXT,
+    category_tags TEXT,
+    signal_score REAL,
+    raw_metadata TEXT,
+    first_seen TEXT DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now')),
+    last_updated TEXT DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now')),
+    UNIQUE(source, source_id)
+);
+
+CREATE INDEX IF NOT EXISTS idx_entries_source ON entries(source);
+CREATE INDEX IF NOT EXISTS idx_entries_signal ON entries(signal_score DESC);
+CREATE INDEX IF NOT EXISTS idx_entries_category ON entries(category_tags);
+
+-- Run log: records each pipeline invocation for failure visibility + growth control.
+-- Partial failures (e.g. Reddit rate-limited) are detectable here, not hidden
+-- as a "complete" run. Also enables future pruning decisions (entries older
+-- than N days with no re-fetch can be archived).
+CREATE TABLE IF NOT EXISTS run_log (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    run_time TEXT DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now')),
+    total_fetched INTEGER DEFAULT 0,
+    total_stored INTEGER DEFAULT 0,
+    sources_ok TEXT,       -- JSON list of sources that succeeded
+    sources_failed TEXT,   -- JSON list of sources that errored/skipped
+    notes TEXT
+);