Upload your documents, ask questions, get answers in seconds. ragchat enables you to chat with your files. Every answer is based on what you provide, and can be validated on resources tab. Manage your files and folders as you want, up to 50MB of capacity for free. Popular file formats (.pdf, .txt and .docx) supported. Ask, summarize, compare and, much more in the future...
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ragchat.net's answer:
Created by just a group of passionate engineers. We want to push the limits of AI and RAG technologies and help people to save their time and make better document analysis. Currently in beta, we're offering our complete platform free of charge, making advanced document intelligence accessible to everyone. Experience the future of AI document reading and analysis with our innovative question-answering system.
ragchat.net's answer:
Everyone, whom just want to read documents faster.
ragchat.net's answer:
We provide better accuracy, constant improvement and support to our users.
ragchat.net's answer:
Retrieval Augmented Generation for retrieving the intended information from the document, SQL Database for Document Management, ChatGPT for Answer Generation
ragchat.net's answer:
We are hoping its you :)
ragchat.net's answer:
One of the first RAG-based chatbot for Q&A and document analysis. Developed by a determined and young team.
Based on our record, Apache Tika seems to be more popular. It has been mentiond 17 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Strongly recommend using Apache Tika[1] for this. It's industry standard for ubiquitous document text extraction. You can take the text output from Tika, chunk it with something like Chonkie[2], and embed it for your search index. -[1]https://tika.apache.org/ -[2]https://chonkie.ai/. - Source: Hacker News / about 1 month ago
Apache Tika could help extract the relevant bits of PDFs, couldnt it? https://tika.apache.org/. - Source: Hacker News / 12 months ago
Apache Tika has worked well for me in the past, ended up running it on an AWS Lambda https://tika.apache.org/. - Source: Hacker News / almost 2 years ago
If you accept running Java, the Apache Tika is extremely good at parsing content (https://tika.apache.org/). - Source: Hacker News / almost 2 years ago
Apache Tika can spit out text from lots of formats. I've used it with grep (or rg) to make a small scale searching of local folders. Tika does a really good job at OCR for finding if text is in a file. Source: about 2 years ago
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