1. Quivr is a tool that lets you treat all your files and data as a single, searchable knowledge base.
2. It uses a retrieval-augmented generation system that pulls snippets from PDFs, spreadsheets, and even SQL tables, then feeds them to an LLM to answer your questions.
3. The chat UI feels like talking to a colleague - you type a query, and it returns a concise answer with the source highlighted. Key features that solve everyday pain points: 1) Cloud or self-hosted deployment so your data stays in your control. 2) Multi-model support - GPT-4, Anthropic Claude, or local Ollama models.
3) Automatic categorization and tagging, so you don't have to manually label every file. 4) Prompt tuning and custom instructions to shape the assistant's tone. 5) Direct database connectors (PostgreSQL, MySQL, SQLite) for live data queries. Who uses it? 1) Engineers who need quick codebase insights.
2) Customer support teams pulling FAQs from ticket logs. 3) Sales reps looking up client histories. 4) HR onboarding new hires with internal wikis. 5) Project managers tracking sprint docs. 6) Students compiling research PDFs. 7) Marketers aggregating campaign data. Why it beats Notion or Evernote: 1) It's not just a storage app - the AI does the heavy lifting of finding what you need.
2) No vendor lock-in; the source code is on GitHub, so you can tweak or host yourself. 3) It's cheaper than many enterprise AI knowledge bases and scales from a single user to a full team. Bottom line: if you're drowning in files and want a second brain that actually remembers, give Quivr a spin. 1) Sign up for the free tier, 2) upload a PDF, 3) ask a question, and watch the magic happen.
It's fast, private, and surprisingly easy to set up - you'll wonder how you ever lived without it.
2. It uses a retrieval-augmented generation system that pulls snippets from PDFs, spreadsheets, and even SQL tables, then feeds them to an LLM to answer your questions.
3. The chat UI feels like talking to a colleague - you type a query, and it returns a concise answer with the source highlighted. Key features that solve everyday pain points: 1) Cloud or self-hosted deployment so your data stays in your control. 2) Multi-model support - GPT-4, Anthropic Claude, or local Ollama models.
3) Automatic categorization and tagging, so you don't have to manually label every file. 4) Prompt tuning and custom instructions to shape the assistant's tone. 5) Direct database connectors (PostgreSQL, MySQL, SQLite) for live data queries. Who uses it? 1) Engineers who need quick codebase insights.
2) Customer support teams pulling FAQs from ticket logs. 3) Sales reps looking up client histories. 4) HR onboarding new hires with internal wikis. 5) Project managers tracking sprint docs. 6) Students compiling research PDFs. 7) Marketers aggregating campaign data. Why it beats Notion or Evernote: 1) It's not just a storage app - the AI does the heavy lifting of finding what you need.
2) No vendor lock-in; the source code is on GitHub, so you can tweak or host yourself. 3) It's cheaper than many enterprise AI knowledge bases and scales from a single user to a full team. Bottom line: if you're drowning in files and want a second brain that actually remembers, give Quivr a spin. 1) Sign up for the free tier, 2) upload a PDF, 3) ask a question, and watch the magic happen.
It's fast, private, and surprisingly easy to set up - you'll wonder how you ever lived without it.
