Build Production-Ready RAG Applications

RAG applications succeed or fail on retrieval. When models hallucinate, the problem is almost always missing or low-quality context. LanceDB is the retrieval layer for fast, accurate RAG with native hybrid search and multimodal support.

Tomorrow's AI is being built on LanceDB today

Why teams switch

Hybrid search that works

Exact phrases matched precisely. Semantic similarity for related content. Filters for tenant, access level, and time range on every query.

GraphRAG-ready

Model your data as nodes and edges. Query in Cypher alongside vector search. One system, not a separate graph DB plus vector DB.

Multimodal RAG

Store pages, captions, layout metadata, and embeddings for PDFs. Index images and diagrams alongside text.

One retrieval layer

Hybrid search blends keyword, vectors, and filters in one request. Fewer systems, fewer joins, fewer failure modes.

Comparison

Traditional RAG Stack LanceDB
Cost Multiple systems - vector DB + keyword engine + feature store. One retrieval layer. Fewer services, lower cost.
Scale Scaling means coordinating multiple systems. 20 PB largest table. 20K+ QPS. Single system scales.
Search Dense vectors miss exact matches. Needs separate keyword service. Native vector, full-text, and SQL hybrid in one query.
Data model Vectors here, documents there, metadata somewhere else. Raw data (blobs), embeddings, and features in one table.
Purpose Glued-together retrieval pipeline. Purpose-built retrieval layer for RAG and agents.
Best for Simple text-only RAG. Production multimodal RAG at scale.

The Power of the Lance Format

Vector Search

  • Fast scans and random access from the same table — no tradeoff
  • Zero-copy access for high throughput without serialization overhead

Multi-Modal

  • Raw data, embeddings, and metadata in one table — not pointers to blob storage
  • No separate metadata store to keep in sync
Build Production-Ready RAG Applications

Enterprise-Grade Requirements

Security

Granular RBAC, SSO integration, and VPC deployment options.

Governance

Data versioning and time-travel capabilities for auditability.

Support

Dedicated technical account management and guaranteed SLAs.

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Talk to Engineering

Or try LanceDB OSS — same code, scales to Cloud.