RAG Knowledge Base

Search lessons from building an autonomous AI trading system

Knowledge base as of: --

System sync as of: --

AI Disclosure: This interface uses AI to search and summarize internal lessons. Not financial advice. Human review required for any trading decisions.

Lessons Learned

Days Building

Paper Equity

Equity

Daily P&L

Positions

Nearest DTE

Win Rate

PAPER

💬 Ask the Knowledge Base

Knowledge base as of: --

System sync as of: --

Hi! I'm your trading knowledge assistant. Ask me about iron condors, VIX entry rules, position management, or any lesson from the knowledge base.

Close iron condor? Current P/L Money today + why Exit rules check Exit strategy VIX entry rules North Star North Star strategy Jan 2026 crisis

Iron Condor Rule #1 VIX Tax Crisis Win Rate Position Failures

🔍 Search Results

Enter a search term to find relevant lessons from the knowledge base.

📅 Recent Lessons

Query RAG Locally (Full Semantic Search)

For full LanceDB semantic search with embeddings, run these commands locally:

          # Activate the venv
            source .claude/scripts/feedback/venv/bin/activate

            # Query the RAG system
            python3 .claude/scripts/feedback/semantic-memory-v2.py --query "iron
            condor management"

            # Reindex if needed (after adding new lessons)
            python3 .claude/scripts/feedback/semantic-memory-v2.py
            --reindex
        

The local RAG system uses LanceDB with sentence-transformers for hybrid search (semantic + keyword).