🔌 Vector Store Integration Guide¶

🔐 Licensed Component - Contact: bajpaikrishna715@gmail.com for licensing

Integration Architecture¶

graph TB
    subgraph "Vector Store Types"
        A[ChromaDB]
        B[FAISS]
        C[Pinecone]
        D[Weaviate]
    end

    subgraph "Quantum Enhancements"
        E[Quantum Embeddings]
        F[Quantum Search]
        G[Quantum Indexing]
        H[Quantum Compression]
    end

    subgraph "Integration Layer"
        I[Unified API]
        J[Backend Switching]
        K[Performance Optimization]
        L[Error Handling]
    end

    A --> E
    B --> F
    C --> G
    D --> H

    E --> I
    F --> J
    G --> K
    H --> L

🌟 Integration Features¶

Universal Vector Store Interface¶

from quantumlangchain.vectorstores import create_quantum_vectorstore

# Create any vector store with quantum enhancement
vectorstore = create_quantum_vectorstore(
    store_type="chromadb",  # or "faiss", "pinecone", etc.
    quantum_enhanced=True,
    **store_config
)

# Unified API across all stores
results = await vectorstore.asimilarity_search(
    query="quantum machine learning",
    k=5,
    quantum_boost=True
)

🔐 License Requirements¶

• Basic Integration: Basic license tier (2 vector stores)
• Professional Integration: Professional license tier (5 vector stores)
• Enterprise Integration: Enterprise license tier (unlimited stores)
• Research Integration: Research license tier (experimental stores)

Contact bajpaikrishna715@gmail.com for licensing.