Open up your Word and PDF documents for Generative AI.
Clean and accurate data ingestion for your RAG and LLM pipelines.
Lengthy documents need to be broken down into segments while keeping the context only to feed relevant information to LLMs.
Complex documents containing tables, text, and image icons need to be structured into content pieces.
Data comes in multiple document formats such as JPG, PDF, and Word with challenges beyond OCR.
The ability to query and analyze efficiently not just 1-10, but 100’000+ documents at once.
Unlock documents to generate the most accurate training data for your AI initiatives
Every step from a document to structured data is fully within your control with integrated human-in-the-loop (HITL) function.
Set custom parameters for additional assurance that data points are extracted exactly how you want.
Trace the output back to the original source of a document.
Designed for seamless collaboration among business and data teams.
Everything you need to know about how Acodis simplifies the journey to AI-ready data in 1 minute!
Book a call with us to assess your data’s AI-readiness! Discover how we can help transform your unstructured documents into AI-ready data, enhancing your business insights and operational efficiency. A solution for your specific needs.
Data ingestion from documents in Life Sciences.
Discover how Acodis transforms complex documents into structured data for Gen AI use cases like Chat / Search (RAG - Retrieval Augmented Generation), Content Authoring, and standardization initiatives.
Why not include the entire document in the prompt for Gen AI application?
" There are several reasons why you would want to avoid that.
" By working with Acodis, extraordinarily valuable insights can be processed and made available for future research "