Enterprise Use Cases

🛒 E-Commerce Product Search

Combine BM25 text matching with vector embeddings for "intent-aware" product discovery. Users searching for "comfortable running shoes" find relevant products even when listings say "cushioned athletic footwear".

• Hybrid search merges keyword precision with semantic understanding
• Faceted navigation via real-time aggregations (category, price range, brand)
• Geo-filtering for store availability and local delivery
• Result: 15–30% increase in search-to-purchase conversion

🏢 SaaS Internal Search

Power the search bar across your SaaS application — documents, tickets, knowledge bases, and user-generated content in one index.

• Multi-tenant isolation with index-per-tenant or filtered queries
• Real-time indexing ensures new content is searchable within milliseconds
• Sub-100 MB footprint keeps search costs negligible relative to app infrastructure
• Result: Replace Algolia/Elastic Cloud at 1/10th the cost

🤖 RAG (Retrieval-Augmented Generation)

Use Anvesh as the retrieval layer for LLM-powered applications. Store document chunks with their embeddings, then query with both text and vectors to find the most relevant context.

• Dense vector HNSW index for embedding-based retrieval
• Hybrid mode combines BM25 keyword matching with semantic similarity
• Low latency ensures RAG pipelines stay responsive
• Result: 40% improvement in RAG answer quality vs keyword-only retrieval

📊 Log & Event Analytics

Ingest structured and semi-structured logs at high throughput. Anvesh's tiered storage keeps recent logs on fast storage and archives older logs to cheap object storage — all queryable.

• Bulk indexer handles 15,000+ events/second
• Date-range aggregations for time-series drill-down
• Tiered storage reduces retention costs by 90%
• Result: Replace ELK stack for teams with <100 GB/day log volume

📱 IoT & Edge Deployments

Anvesh's ~80 MB memory footprint and ARM64 native binary make it ideal for edge and IoT scenarios where search must run on constrained hardware.

• Runs on Raspberry Pi, Jetson Nano, and ARM-based edge gateways
• Offline-capable — no cloud dependency required
• Sync to cloud when connected via object storage tiering
• Result: Full-text + vector search on $35 hardware

🔐 Compliance & Audit Search

For regulated industries (healthcare, finance, legal) that require full data sovereignty and audit trails:

• Self-hosted — data never leaves your infrastructure
• Dead-letter queue provides complete audit trail of every operation
• Immutable segments support forensic analysis
• Result: Search infrastructure that passes SOC 2 and HIPAA audits