QuivrHQ has a notable presence on GitHub, featuring a wide range of repositories primarily in Python, TypeScript, Jupyter Notebook, and Rust. Key projects include the quivr repository, which focuses on integrating Generative AI into applications, and MegaParse, a file parser optimized for LLM ingestion. This organization is based in France and emphasizes contributions to open-source software.
Top languages
Public repositories
quivr
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.
MegaParse
File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.
247-claude-code-remote
Access Claude Code from anywhere - Mobile / Desktop secure connection via Tailscale. Provision VMs with Fly.io. Compatible with Gemini / Codex / OpenCode
slackbot
Slackbot for Quivr 🧠
LeJuge
Evaluator for Quivr RAG
multimodal-rag
No description provided for this repository.
auto-correct
Auto Correct extension for chrome. LanguageTool based extension
clients
No description provided for this repository.
docs
No description provided for this repository.
.github
No description provided for this repository.
Frequently asked questions
What does QuivrHQ build on GitHub?
QuivrHQ builds a variety of projects on GitHub, primarily focusing on tools for Generative AI integration and file parsing for LLMs. Notable repositories include quivr, which facilitates AI integration, and MegaParse, designed for parsing documents effectively.
Which programming languages does QuivrHQ use?
QuivrHQ utilizes several programming languages in its repositories, with a primary focus on Python and TypeScript. Other languages used include Jupyter Notebook, Rust, and MDX, reflecting a diverse range of technical expertise.
Are QuivrHQ's repositories public?
Yes, all of QuivrHQ's repositories are public on GitHub. This allows for transparency and collaboration within the open-source community, enabling developers to contribute and utilize the tools created by QuivrHQ.
Is this exposure intended?
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