Pathway utilizes RAG (Retrieval-Augmented Generation) to power its document AI magic. Here's a breakdown of the pipeline:
1. Document Ingestion:
Connect your document sources like Google Drive, SharePoint, local storage, or S3.
Supported formats include text, PDF, DOCX, and HTML.
Documents are NOT duplicated and indexed for efficient retrieval.
2. Retrieval Stage:
When you ask a question, Pathway searches its document index using powerful algorithms.
Relevant passages are retrieved based on their potential to answer your query.
3. Generation Stage:
The retrieved passages are fed into a GPT model of choice, fine-tuned for document understanding.
GPT model synthesizes the information and generates a clear, concise, and informative answer to your question.
4. Summarization (Optional):
For multiple documents, Pathway can automatically summarize responses, presenting key points for quick review.
5. Continuous Learning:
Pathway constantly learns and adapts. As your documents change, the retrieval and generation models get updated through an always refreshed vector index, ensuring your answers are always based on the latest information.
Benefits:
Accurate & Insightful Answers: Get straight to the point with answers sourced directly from your documents.
Effortless Maintenance: No separate data preprocessing needed. No need for a separate vector database. Pathway automatically keeps itself up-to-date.
Highly Customizable: Adapt the pipeline to your specific needs, including prompts, search queries, and more.
Seamless Integration: Works with various document sources and integrates smoothly with your existing workflows.