quivr cover image on AI Something

Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want.

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Quivr: Your Personal AI Assistant

Overview

Quivr is an innovative open-source AI tool designed to be your personal assistant, leveraging the power of Generative AI to help you build a second brain. With its opinionated Retrieval-Augmented Generation (RAG) system, Quivr enables users to focus on their products while efficiently managing information.

Key Features 🎯

  • Opiniated RAG: Quivr's fast and efficient RAG allows you to streamline your workflow.
  • Versatile LLM Support: Compatible with various language models, including OpenAI, Anthropic, Mistral, and Gemma.
  • File Compatibility: Supports multiple file types such as PDF, TXT, and Markdown, with the option to add custom parsers.
  • Customizable RAG: Tailor your RAG setup with internet search capabilities and additional tools.
  • Megaparse Integration: Seamlessly ingest files using Megaparse for enhanced functionality.

Getting Started 🚀

To begin using Quivr, ensure you have Python 3.10 or newer installed. The installation is quick and straightforward:

pip install quivr-core

With just five lines of code, you can create a RAG and start asking questions.

Benefits for Users

Quivr empowers users to manage information effectively, improve productivity, and enhance their decision-making processes. By integrating various file types and LLMs, it offers a flexible solution for diverse needs.

Alternatives

While Quivr stands out for its features, alternatives include tools like Haystack and LangChain, which also focus on AI-driven information retrieval and processing.

Reviews

Users appreciate Quivr for its simplicity, efficiency,

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