ADVANCED RAG

Transform Your Data into Expert Enterprise AI Agents

Advanced Ingestion & Retrieval
built for Enterprises that need scale and value privacy

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Enterprise Data Connectors

Enterprise-grade support for integrating over 100 data sources such as S3, Snowflake, SharePoint, and Slack. Scale seamlessly with robust connector customization- including metadata extraction, file handling, and
post-processing tailored for enterprise needs.

Advanced Document Parsing

Achieve precise parsing for complex enterprise documents, including tables, images, formulas, and slides. Use multi-modal pipelines to extract visual data, OCR readers for text recognition, and LLMs for validation. Customize parsers for specific file types to meet unique needs.

Secure Data Ingestion

Ensure full data privacy with locally deployed models and native support for vector stores. Configure pipelines for chunking, transforming, and embedding data. Gain real-time insights into the ingestion process with comprehensive tracing and observability tools.

Intelligent Data Retrival

Leverage advanced retrieval mechanisms such as re-ranking, query reconstruction, and custom post-processing for precise results. Use privately deployed LLMs to synthesize responses and customize user prompts for improved relevance.

Custom Pipelines

Experiment, design, and manage tailored pipelines for parsing, ingestion, and retrieval to meet diverse enterprise use case requirements.

Parallel Processing

Accelerate ingestion and retrieval with parallel processing across thousands of files and multiple sources, reducing latency significantly.

Compute Optimization

Optimize resource usage with GPU-powered ingestion for large datasets. Automatically scale down workers during idle periods to ensure efficiency.

Semantic Cache

Boost response speed and user confidence by caching frequently asked similar questions for immediate, contextually relevant responses.

Tracing

Ensure data integrity and system auditability with end-to-end tracing for both ingestion and retrieval workflows.

Auto Sync

Keep RAG applications current by scheduling automated data synchronization, ensuring your AI solutions always deliver the most relevant information.

FAQ
What is Retrieval-Augmented Generation (RAG), and how does it benefit enterprises?
How does the Advanced RAG Module handle enterprise-scale data ingestion?
Can the Advanced RAG Module integrate with our existing enterprise tools?
How does the module ensure data privacy during ingestion and retrieval?
What advanced retrieval mechanisms does the module support?
How does the module keep data and responses up to date?
Can the module handle complex enterprise documents like images, tables, and PDFs?
How does the module optimize resource usage at scale?
Does the module support caching to improve response times?
What level of observability does the module offer?

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