Name: PDF Agent
Rating: 5.0 (1 reviews)

With the number of ask your PDF SaaS solutions, I noticed there weren't any solutions focused on people who wanted to build it for their business/SMB. Most of them also weren't production-ready (requiring a lot of work to productionize applications like LangChain). We therefore built a solution that provided Helicone-like observability that handled everything out of the box. We built PDFAgent to combine the capabilities of asking your PDF with built-in observability on top of Twilix’s RAG infrastructure. It handles parsing, cleaning, splitting up your PDF to provide useful embeddings (the user just needs to submit a publicly readable URL link) and a MixPanel-like interface to monitor and observe queries. Features ✅ Production-ready PDFReaderAgent - built with Rest API (see docs.twilix.io for more information) ✅ Built-in observability (via Twilix dashboard) ✅ Built-in easily swappable read/write API keys (so no one can over-write your data) ✅ Production-ready insertion and retrieval pipelines built in (via Twilix) ✅ Multi-line citations, managed vector store, production-ready conversation memory handling. Interested in exploring further? Find out more from https://docs.twilix.io. Join our discord here: https://discord.gg/a3K9c8GRGt About the team: We are ex-Google, ex-Snapchat engineers who are looking to solve unstructured data retrieval problems. This is often used in applications like AskYourPDF and we want to provide the best retrieval infrastructure - starting with the common data type - PDFs.

PDF Agent

Production-ready agent for analysing and conversing with PDF

Production-ready agent for analysing and conversing with PDF