⚛️ QDB (Quantum-Inspired Deductive Database)
QDB is a lightweight, zero-API, quantum-inspired deductive database and thermodynamic reasoning engine that beats Vector RAG at multi-hop reasoning, contradiction suppression, and deterministic math.
⚡ Key Highlights
- 15-Hop Unbroken Causal Deduction: Traverses deep reasoning chains in $< 200\text{ms}$ with zero vector drift using Lie-Group continuous state evolution.
- Anti-Ferromagnetic Contradiction Invalidation: Injects $+50.0\text{J}$ mathematical repulsion barriers to suppress stale/contradictory facts.
- Contextual Semantic Opposition: Resolves subtle figurative colloquialisms ("showed him the door") without dictionary dependencies.
- Deterministic AST Arithmetic: $0.0%$ arithmetic hallucination on financial, numeric, and scientific documents.
- Bi-Temporal Lineage: Native point-in-time time travel (
as_of_time=2021.0) with non-destructive graph mutation. - Zero-API, 100% Air-Gapped Privacy: Runs locally on CPU/GPU ($< 150\text{MB}$ RAM) with zero cloud token bills.
📦 Installation
pip install qdb-ai
🚀 Quickstart (Python)
from qdb import Vault
# 1. Initialize local zero-copy vault
vault = Vault("production_vault")
# 2. Ingest structured facts or raw documents
vault.ingest("Dr. Aris Thorne was appointed Chief Cryptographer in 2021.", timestamp=2021.0)
vault.ingest("Dr. Thorne's security clearance was revoked after an audit in 2024.", timestamp=2024.0)
# 3. Quantum-inspired multi-hop reasoning
response = vault.ask("Does Dr. Thorne have active security clearance?")
print(response)
# Output: Deduces clearance is REVOKED (+50J anti-ferromagnetic suppression)
🌐 Standalone REST & OpenAI-Compatible Streaming Server
Start the server from the command line:
qdb server --port 8000
Connect using standard OpenAI SDK or TypeScript:
from openai import OpenAI
client = OpenAI(base_url="http://localhost:8000/v1", api_key="not-needed")
response = client.chat.completions.create(
model="qdb-quantum-reasoner",
messages=[{"role": "user", "content": "What happened to Dr. Thorne?"}],
stream=True
)
for chunk in response:
if chunk.choices[0].delta.content:
print(chunk.choices[0].delta.content, end="")
📜 License
Released under the MIT License.
1 maintainer
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