RAG-powered intelligence for your entire business

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Beyond basic search: How our RAG truly understands your data

Supercharged text extraction

Supercharged text extraction

Extract information from a wide range of sources, including images, charts, unstructured text, audio, and video, bringing all types of data into a unified framework with our RAG approach.

Dynamic chunking

Dynamic chunking

Efficiently handle large corpora without sacrificing quality or precision, ensuring seamless processing of extensive datasets.

Contextual prompting

Contextual prompting

Precisely tailor responses to specific queries, providing accurate and contextually relevant insights.

Re-ranking for optimal results

Re-ranking for optimal results

Continuously refine and optimize search results for more accurate, meaningful answers that evolve with user interactions.

Multi-index synergy

Multi-index synergy

Utilize multiple indexes to integrate data across your data lake, ensuring cohesive and comprehensive insights across all data sources.

Knowledge graph for enhanced relational search

Knowledge graph for enhanced relational search

Leverage knowledge graph technology to add depth to relational search, enabling sophisticated connections across data points.

Self-evaluation for sensibility and refinement

Self-evaluation for sensibility and refinement

Incorporate continuous self-evaluation to ensure logical, refined, and high-quality outputs that adapt over time.

Plug & play the latest LLMs

Plug & play the latest LLMs

Stay at the cutting edge with the flexibility to integrate and benefit from the most advanced LLMs as they evolve, maintaining peak performance.

Smarter decisions across every workflow

Talk to your data with intelligent chatbots

Talk to your data with intelligent chatbots

Transform data interactions with chatbots that deliver precise, context-aware answers, enabling instant data-driven responses and insights.

Semantic search: discover data like never before

Semantic search: discover data like never before

Find information faster and more accurately by searching through complex, unstructured data to retrieve contextually relevant results instantly.

Intelligent recommender systems: personalized suggestions from data

Intelligent recommender systems: personalized suggestions from data

Drive engagement with personalized recommendations that help users discover the most valuable insights, resources, or products based on data patterns.

Policy review: ensure compliance with data-driven oversight

Policy review: ensure compliance with data-driven oversight

Streamline policy review by quickly identifying key compliance information and maintaining alignment with regulatory standards.

Audit support: accurate and efficient data review for audits

Audit support: accurate and efficient data review for audits

Optimize audits by effortlessly navigating through vast data repositories, allowing auditors to verify compliance and ensure accuracy with speed.

Comprehensive document review for legal, technical, and financial files

Comprehensive document review for legal, technical, and financial files

Power document-heavy workflows by extracting and synthesizing crucial information, improving accuracy and reducing risk in critical reviews.

Multimodal document extraction: unlock insights from all data types

Multimodal document extraction: unlock insights from all data types

Extract valuable information from multimedia formats like images, charts, and videos to build a complete, actionable view of your data landscape.

Intelligent querying of large documents

Intelligent querying of large documents

Effortlessly search massive documents and retrieve precise answers to complex queries, saving time and increasing productivity.

Consolidate data from multiple sources for a unified view

Consolidate data from multiple sources for a unified view

Integrate data from diverse sources into a single, unified view, enabling comprehensive reporting and informed decision-making.

RAG FAQs: Answers to Your Top Questions

What is Retrieval-Augmented Generation (RAG)?
Retrieval-Augmented Generation (RAG) is an advanced AI system that merges powerful language models with real-time data retrieval. At Forage AI, our RAG solution enhances your knowledge-intensive tasks by pulling from relevant data sources to produce grounded, accurate answers. This means that instead of searching for fragmented information, our RAG technology provides precise, contextually rich insights directly within your workflows.
How does Forage AI’s RAG System differ from traditional AI models?
What kind of data can Forage AI’s RAG system handle?
How does Forage AI’s RAG prevent “hallucinations” (inaccurate responses)?
How secure is my data in Forage AI’s RAG System?
Can Forage AI’s RAG Solution be customized for specific business applications?
What integration options are available for Forage AI’s RAG Solution?
How do I get started with Forage AI’s RAG Solution?