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quivr

The-Vibe-Company/quivr

Opiniated RAG for integrating GenAI in your apps

GitHub Website

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

121views this month

40k stars3.7k forksLast push Aug 31, 2026 Python Other

Decision brief

Quivr is a Python-based framework for integrating generative AI into applications, supporting various LLMs and vectorstores, with a focus on customization and ease of integration.

Good fit when

When you need to integrate generative AI into your applications with support for multiple LLMs like GPT4, Groq, and Llama.
If you require flexibility in choosing vectorstores such as PGVector and Faiss for your application.

Avoid when

If you are looking for a framework that enforces a strict, non-customizable approach to integrating generative AI.
When your project requires a framework that supports only a specific set of LLMs or vectorstores, and you do not need the flexibility to switch between them.

Pricing:: freemium - The core framework is free to use under the Apache 2.0 License, but additional services or support might incur costs.
Requirements:: Min 2 GB RAM; Python environment is required.; Installation is straightforward with pip.

Observed Sep 18, 2026 · Source: enrich:decision_facts

quivr alternatives Trust report

quivr vs botpress quivr vs mempalace quivr vs txtai

Verify the decision

Maintenance and security

Full trust report

Maintenance: Active (17d since push); As of Sep 18, 2026
Provenance: Not a fork · Organization account; As of Sep 18, 2026
Security (OSV): No lockfile; As of Sep 18, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install quivr

PyPI

How it fits your stack(42)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Alternative

ragflow

Both Quivr and ragflow are RAG engines, offering retrieval-augmented generation capabilities but with their own specific approaches and features.

alternative

mempalace

Both Quivr and mempalace focus on AI memory systems, though they might approach the problem from different angles.

alternative

Langchain-Chatchat

Quivr and Langchain-Chatchat both provide frameworks for integrating retrieval-augmented generation (RAG) in applications with support for multiple language models, but Quivr emphasizes its opinionated approach to integrating GenAI as a personal assistant or 'second brain,' while Langchain-Chatchat is specifically designed as an open-source, local application.

alternative

Integrates

langchain

Quivr and langchain both work in the space of integrating LLM/RAG capabilities into applications. While Quivr focuses on RAG specifically, LangChain provides a broader ecosystem for building AI agents and can be integrated to enhance Quivr's functionality.

integrates

gpt_academic

`gpt_academic` can integrate with `Quivr`, which offers RAG solutions for integrating GenAI into applications, aligning well with the repository's goal of providing practical interfaces for LLMs.

integrates

Scrapegraph-ai

Quivr is an Opiniated RAG for integrating GenAI in applications, which can include the use of web scraping libraries like ScrapeGraphAI to enrich its RAG system with the scraped data.

integrates

prompts.chat

Both platforms are aimed at integrating and optimizing the use of generative AI in applications through prompts or retrieval techniques, aligning them closely with a similar function but serving slightly different aspects.

llm-app

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data

RAG_Techniques

RAG_Techniques and quivr both involve the integration of retrieval and generation techniques within AI applications, making them related but not directly integrating or succeeding one another.

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

dify

Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.

156k★

awesome-llm-apps

Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.

136k★

anything-llm

Self-hosted AI agent experience

66k★

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Quivr is a framework for integrating generative AI into applications with support for various LLMs and vectorstores, enabling easy customization and integration.

Capability facts

Languages: python
Source: github.language · Sep 18, 2026

Graph entities

Ollamaframework

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 18, 2026)

```python import tempfile

Source link

README

Getting Started 🚀 You can find everything on the documentation. 30 seconds Installation 💽 Step 1 : Install the package Step 2 : Create a RAG with 5 lines of code License 📄 This project is licensed under the Apache 2.0 License see the LICENSE file for details

For agents

This page has a .md twin and JSON over the API.

/tools/quivrhq-quivr.md GET /api/graphcanon/tools/quivrhq-quivr GET /api/graphcanon/graph?tool=quivrhq-quivr

quivr

Decision brief

Good fit when

Avoid when

Verify the decision

Maintenance and security

Install

How it fits your stack(42)

Alternative

Integrates

Related

Relationship graph

Similar tools

Evidence and technical details

Overview

Capability facts

Categories

Graph entities

Compatibility

Tags

README

For agents