🔗 ChromaDB Integration¶

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

ChromaDB Quantum Integration¶

graph TB
    subgraph "ChromaDB Core"
        A[Vector Storage]
        B[Similarity Search]
        C[Collection Management]
        D[Metadata Handling]
    end

    subgraph "Quantum Enhancement"
        E[Quantum Embeddings]
        F[Superposition Search]
        G[Entangled Collections]
        H[Coherent Retrieval]
    end

    subgraph "QuantumLangChain Integration"
        I[Hybrid Vector Store]
        J[Quantum-Classical Search]
        K[Enhanced Performance]
        L[Seamless API]
    end

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

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

🌟 Core Features¶

Quantum-Enhanced ChromaDB¶

from quantumlangchain.vectorstores import QuantumChromaDB

# Initialize quantum ChromaDB
vectorstore = QuantumChromaDB(
    collection_name="quantum_docs",
    quantum_embeddings=True,
    superposition_search=True,
    persist_directory="./chroma_db"
)

# Add documents with quantum enhancement
await vectorstore.aadd_texts(
    texts=documents,
    quantum_encoding=True
)

# Quantum similarity search
results = await vectorstore.asimilarity_search(
    query="quantum computing",
    k=5,
    quantum_interference=True
)

🔐 License Requirements¶

• Basic ChromaDB: Basic license tier (standard integration)
• Professional ChromaDB: Professional license tier (quantum enhancements)
• Enterprise ChromaDB: Enterprise license tier (advanced features)
• Research ChromaDB: Research license tier (experimental features)

Contact bajpaikrishna715@gmail.com for licensing.