AWS OpenSearch Pipeline

Enabling lightning-fast similarity search for generative AI systems with serverless vector databases that handle millions of embeddings.

Explore Vector Solutions

Core Capabilities

Vector Similarity Search

Integrate high-dimensional vector search into your RAG pipelines. Achieve sub-100ms latency for complex similarity queries across massive datasets.

  • Advanced KNN Algorithms
  • Sub-second Latency
  • Multilingual Embeddings

Serverless Search Fabric

Zero-infrastructure search management with AWS OpenSearch Serverless. Scale compute and storage independently to match your application's demand.

  • Zero Cluster Management
  • Independent Auto-scaling
  • Enterprise Security Sync

RAG Performance Metrics

Optimize retrieval accuracy and token efficiency. Our pipelines ensure the most relevant context is provided to your LLMs, reducing hallucinations and costs.

  • 95% Retrieval Accuracy
  • 80% Performance Gain
  • 60% Infrastructure Savings
Performance Metrics
Search Latency: 42ms
Context Relevance: High
Batch Sync: Complete

Why Our Search Pipelines?

Hybrid Search

Combine keyword and vector search for the ultimate retrieval experience.

LlamaIndex & LangChain

Native integration with the most popular AI orchestration frameworks.

Data Pipeline Sync

Automated data ingestion from S3, DynamoDB, or RDS into OpenSearch.

VPC Security

Deploy in private networks for maximum data security and compliance.

Ready to Supercharge Your RAG?

Let's build a search architecture that powers your next-gen AI applications.

Let's Talk Search