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description= Chat with your documents privately using AI — everything stays on your device.;
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localrag review pricing features alternatives submit ai tools find submit explore ai solutions search search icon open main menu submit promote spotlight show your ai tools 3d marketing business voice video image text writing ai detector github repos productivity education life assistant chatbot code it other design art prompt submit ai tools blog submit yours promote about close menu submit promote email notification alert blog 3d marketing business voice video image text writing ai detector github repos productivity education life assistant chatbot code it other design art prompt localrag verified blue checkmark verified blue checkmark products are featured above free or unverified listings this badge indicates authenticity and builds trust giving your product higher visibility across the platform upgrade to get verified verified blue checkmark verified blue checkmark products are featured above free or unverified listings this badge indicates authenticity and builds trust giving your product higher visibility across the platform upgrade to get verified dismiss chat with your documents privately using ai everything stays on your device visit website promote what is localrag there s something liberating about asking a real question about your own notes research papers meeting transcripts or scattered pdfs and getting an answer that actually comes from your documents not some generic internet summary no sending sensitive files to the cloud no waiting for a server halfway around the world no worrying whether your data is being quietly stored or trained on this tool lives entirely on your machine you point it at folders it quietly builds a private index and suddenly you have a smart assistant that remembers everything you ve ever saved i once asked it to find every mention of a specific client requirement across 18 months of meeting notes took seconds cited exact pages saved me half a day of ctrl f torture that kind of moment is why people keep it running introduction most ai chat interfaces are wonderful until you need them to know your actual work then they either demand you upload everything hello privacy concerns or give you vague hallucinated answers this changes the game by keeping 100 of your data local indexing retrieval generation everything no internet required after initial model download it s perfect for lawyers with confidential case files researchers with private literature writers with world building notes developers with sprawling documentation or anyone who wants chatgpt level conversation but with their own knowledge base the experience feels like finally having a second brain that actually read the same things you did key features user interface the app opens to a simple chat window with a sidebar showing your knowledge bases drag folders or files in give the collection a name and indexing starts automatically in the background you can keep working while it happens switching between collections is instant the chat itself is clean natural language input source citations you can click to see the exact chunk export buttons dark mode keyboard shortcuts nothing feels bolted on it s all built to disappear into your workflow so you focus on thinking not managing the tool accuracy performance retrieval is impressively precise relevant passages surface even when your question uses different wording from the original text citations are accurate and clickable on decent hardware especially with gpu responses come in 2 8 seconds even on collections with thousands of pages larger models give deeper reasoning smaller ones give snappier replies the balance between speed and quality is tuned well you rarely wait long enough to lose your train of thought capabilities indexes pdfs word docs markdown txt code files epub pretty much anything with extractable text supports multiple local llms via ollama lm studio llama cpp and others full text semantic hybrid search multi collection organization per collection custom prompts chat folders export to markdown pdf source highlighting and completely offline operation you can tweak chunk size retrieval parameters and re ranking if you want to squeeze out extra relevance it s a full featured local rag experience in one approachable package security privacy zero network calls after model download your documents never leave your device no telemetry no analytics pings no cloud sync unless you deliberately enable it and even then it s optional perfect for legal work medical notes personal journals proprietary research or any file you wouldn t dream of uploading the privacy promise is absolute if your computer is secure your knowledge stays secure use cases a consultant indexes years of client reports and asks for patterns across projects gets instant summaries with source references a phd student loads research papers and literature notes queries for contradictions or gaps in existing work a novelist builds a knowledge base of character backstories world rules and plot timelines asks for consistency checks or forgotten details a developer keeps api docs personal wikis and code comments searchable without opening twenty browser tabs a lawyer maintains private case notes and statutes queries for precedents in seconds wherever deep personal or professional knowledge needs to stay private and instantly accessible this becomes indispensable pros and cons pros complete offline privacy your data never leaves your machine strong accurate retrieval with clickable source citations fast enough on consumer hardware to feel like a real conversation clean focused interface that doesn t fight you active updates and responsive developer who listens to feedback cons initial indexing of very large collections takes time hours for tens of thousands of pages requires decent hardware for comfortable speed with larger models model setup downloading via ollama etc is a one time extra step pricing plans core app is free and open source forever no usage caps no hidden tiers optional one time paid license unlocks priority support early access to builds premium themes and helps fund continued development no subscriptions no monthly fees no credit systems you pay once if you choose and own it forever the free version is already more capable than most paid cloud alternatives when privacy matters how to use localrag download and run the app single file on most platforms create a new knowledge base by dragging folders or files into the sidebar wait while it indexes you can use the app during indexing open a chat select your collection from the dropdown and start asking questions in plain language click any citation to see the exact source chunk organize chats into folders for different projects export conversations or copy answers as needed everything stays local fast and private from the first question to the last comparison with similar tools cloud rag services require uploading sensitive files and often come with recurring costs or vague privacy policies other local solutions can be clunky slow or limited in file support and model compatibility this one combines a polished modern interface with strong retrieval fast performance on typical hardware and genuine zero cloud operation it s the rare tool that feels both beginner friendly and powerful enough for serious knowledge work conclusion having an ai that truly knows your own documents without ever phoning home is one of those quality of life upgrades you don t fully appreciate until you have it no more endless searching no more trusting external servers with private files no more generic answers that ignore your specific context instead you get fast accurate grounded responses whenever you need them for researchers writers students lawyers developers anyone whose thinking lives in text this quietly becomes one of the most valuable tools on the machine once your knowledge is local and instantly accessible it s hard to imagine working any other way frequently asked questions faq how fast is it on a normal laptop very usable with smaller models larger ones benefit greatly from gpu but still work acceptably on cpu what file formats can it read pdf docx txt markdown code files epub basically anything with extractable text does it send anything over the internet no zero network activity after model download unless you choose a cloud model optional how long to index a big folder hundreds of pages in minutes thousands in a few hours runs in background so you can keep working can i use my favorite llm yes works with ollama lm studio llama cpp koboldcpp and other local backends localrag has been listed under multiple functional categories ai research tool ai knowledge base ai knowledge management ai documents assistant these classifications represent its core capabilities and areas of application for related tools explore the linked categories above localrag details website link pricing free apps web tools categories ai research tool ai knowledge base ai knowledge management ai documents assistant copy embed code embed code copied to clipboard localrag alternatives product find localrag alternatives helploom google skills keepmind read pdf alo langextract clay read modelslab odysseus ai truesource ai image descri help and support newsletter ai quiz leaderboard contact us promote about legal privacy policy terms conditions cookie policy refund policy 2024 submit ai tools all rights reserved
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