RAGFlow
Deep document understanding — tables, images, multi-language
The top alternatives to Compresr in the RAG Frameworks space, compared on features, pricing, and what they're best at.
Updated March 27, 2026
Compresr provides an API and open-source proxy for compressing LLM context at two levels: coarse-grained (selecting relevant chunks) and fine-grained (token-level compression within chunks). Part of YC W2026, it was founded by a team of four EPFL researchers: Ivan Zakazov (CEO, PhD dropout, published at EMNLP and NeurIPS), Oussama Gabouj (CTO, EMNLP 2025 paper on prompt compression), Berke Argin (CAIO, ex-UBS), and Kamel Charaf (COO, ex-Bell Labs).
One platform for routing, observability, tracing, and evals across every LLM provider.
Unstructured
Ingests 65+ file formats: PDFs, DOCX, PPTX, HTML, images, emails
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 500+ models through one gateway.