pedif is an open-source SDK and CLI for building retrieval-augmented generation (RAG) workflows with PDFs. It allows developers to ingest, query, and summarize PDF documents using AI models. Designed for AI developers and data engineers working with document intelligence and semantic search.
In the RAG, search & retrieval space, pedif takes a focused approach. Enabling developers to easily build PDF retrieval-augmented generation (RAG) workflows for querying and summarizing documents. pedif is an open-source project aimed at AI developers and data engineers. The project is open source (MIT License). pedif is available on the web, the command line, and API, and it can be self-hosted.
Behind pedif is coder-bks, and the product first shipped in 2026. Across PulseGate's embedding index, pedif has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are PDF ingestion, semantic search, and summarization. It exposes integrations via a public API.
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