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Vector partitioning in Pinecone using multiple indexes

vector partitioning in Pinecone using multiple indexes, along with an example use case. 🌟

Multi-Tenancy and Efficient Querying with Namespaces

What Is Multi-Tenancy?

Multi-tenancy is a software architecture pattern where a single system serves multiple customers (tenants) simultaneously.

Each tenant’s data is isolated to ensure privacy and security.

Pinecone’s abstractions (indexes, namespaces, and metadata) make building multi-tenant systems straightforward.

Namespaces for Data Isolation:

Pinecone allows you to partition vectors into namespaces within an index.

Each namespace contains related vectors for a specific tenant.

Queries and other operations are limited to one namespace at a time.

Data isolation enhances query performance by separating data segments.

Namespaces scale independently, ensuring efficient operations even for different workloads.

Example Use Case: SmartWiki’s AI-Assisted Wiki:

Scenario:

SmartWiki serves millions of companies and individuals.

Each customer (tenant) has varying data scale, user count, and SLAs.

SmartWiki prioritizes great UX and low query latency.

Implementation:

Create an index for each workload pattern (e.g., RAG analysis, semantic search).

Within each index, use namespaces for individual tenants.

Example Python code for creating namespaces:


from pinecone import Pinecone

pc = Pinecone(api_key="YOUR_API_KEY")

pc.create_index(name="rag-index", dimension=128, metric="cosine")

pc.create_index(name="semantic-index", dimension=256, metric="euclidean")


# Create namespaces for tenants

pc.create_namespace(index_name="rag-index", namespace="acme")

pc.create_namespace(index_name="rag-index", namespace="widgets-r-us")

pc.create_namespace(index_name="semantic-index", namespace="acme")

pc.create_namespace(index_name="semantic-index", namespace="widgets-r-us")


Benefits:

Query Performance: Each query interacts with a specific namespace, leading to faster response times.

Cost Efficiency: Namespace-based isolation reduces costs.

Clean Offboarding: Deleting a namespace removes a tenant cleanly.

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