Enterprise-Ready Data Processing

Turn Unstructured Data Into AI-Ready Knowledge

RAG Pipelines transform your documents, PDFs, and knowledge bases into searchable vector embeddings. Connect any data source, process at scale, and deliver accurate AI responses in minutes, not months.

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Building RAG Infrastructure Is Complex and Time-Consuming

Teams spend months building basic RAG functionality instead of focusing on their core AI features. Every component requires specialized knowledge: data connectors, document parsing, chunking strategies, embedding models, vector databases, and synchronization logic. By the time you've built it all, your competitors have already shipped.

Months of integration work: Building custom connectors, chunking logic, and vector pipelines takes engineering teams months of effort.
Stale vector indexes: Manual updates mean your AI uses outdated information, leading to inaccurate responses and hallucinations.
Complex orchestration: Managing extraction, chunking, embedding, and synchronization across multiple systems is a nightmare.
Scale and reliability issues: Home-grown solutions break under load, lose data during processing, and lack enterprise resilience.

Complete RAG Infrastructure in Minutes

Everything you need to build production-ready RAG applications. No infrastructure to manage, no complex orchestration to build.

20+ Data Source Connectors: Connect to S3, Google Drive, SharePoint, Confluence, and more. Ingest documents, PDFs, and knowledge bases from anywhere.
Intelligent Processing: Advanced extraction with Vectorize Iris, smart chunking strategies, and automatic metadata extraction using AI.
Flexible Vector Storage: Use our managed database or bring your own. Support for Pinecone, Weaviate, Qdrant, pgvector, and 8+ more.
Real-Time Synchronization: Keep your vector indexes always current with automated updates. Schedule or stream changes as they happen.
Advanced Retrieval: Query rewriting, reranking, metadata filtering, and OpenAI-compatible endpoints for superior accuracy.
Enterprise Reliability: Event-streaming architecture, automatic retries, dead letter queues, and guaranteed delivery at any scale.

Connect to Your Entire Data Stack

Pre-built connectors for data sources, vector databases, and AI platforms. No custom integration code required.

Test Before You Deploy

RAG Sandbox: Interactive Testing Environment

Every RAG Pipeline comes with an interactive sandbox where you can test queries, validate retrieval quality, and share results with your team—all before writing a single line of code.

Interactive query interface.: Test your RAG pipeline with real queries and see immediate responses from your indexed data.
Real-time validation.: Validate that your pipeline correctly indexes and retrieves data before production deployment.
Visual chunk inspection.: See the most relevant chunks of information from your indexed data along with LLM responses.
Same production endpoint.: Uses the exact same retrieval endpoint as your production pipeline for accurate testing.
Share with stakeholders.: Easily demonstrate your RAG application capabilities to non-technical users and stakeholders.
Instant feedback loop.: Test changes immediately after deployment to see how they affect retrieval and generation quality.

Your Database, Your Choice

Enterprise-grade flexibility. Use our production-ready vector database with zero setup, or connect your existing infrastructure for complete control.

Vectorize Database

Get started instantly with our managed vector database. Production-ready performance with advanced retrieval features built in.

Zero Infrastructure: No setup, maintenance, or scaling concerns. Focus on your AI, not database operations.
Advanced Querying: Built-in hybrid search, metadata filtering, and reranking for superior retrieval accuracy.

Perfect for:Teams wanting to ship fast

Your Database

Connect your existing vector database. Keep full control while leveraging our processing pipeline and synchronization.

Complete Control: Your data stays in your infrastructure. Full ownership of security and compliance.
Data Portability: No vendor lock-in. Move your vectors anywhere, anytime. Export to S3 for backup.

Perfect for:Enterprises with compliance needs

Bring your own database?

We support 12+ vector stores

Pinecone

Weaviate

Qdrant

Elastic

pgvector

Azure AI Search

Milvus

Turbopuffer

ChromaDB

Zilliz

Redis

MongoDB Atlas

Don't see your database? Contact us for custom integrations.

Why Teams Choose Vectorize RAG Pipelines

Join hundreds of teams who've accelerated their AI development with our production-ready infrastructure.

Ship 10x Faster

Deploy production RAG in hours instead of months. Focus on your AI features, not infrastructure.

90% faster deployment

Enterprise Reliability

Guaranteed delivery, automatic retries, and fault tolerance. Built for mission-critical applications.

99.9% uptime SLA

Improved Accuracy

Always-current indexes, advanced retrieval, and smart reranking reduce hallucinations and improve relevance.

85% better accuracy

Predictable Costs

Pay per page processed. No hidden infrastructure costs or surprise bills at scale.

60% cost reduction