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RagLeap Core logo

RagLeap Core

Agentes de IA Autônomos — Não Apenas RAG.

license MIT 46 AI Employees Autonomous Self-Hosted PyPI ragleap-rag Downloads

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RagLeap Core é o motor open-source por trás do RagLeap — um sistema agentivo auto-hospedado que gerencia seu negócio a partir de seus próprios documentos em seu próprio servidor, sem nenhum bloqueio de fornecedor.

46 funcionários de IA baseados em função: 9 funções generalistas principais (Gerente de IA, Secretário, CEO, Vendas, Suporte, RH, Finanças, Marketing, Operações) mais 37 funções globais específicas do setor.

O que ele faz:

  • Memória auto-aprendível, ponderada por resultados
  • Acionadores automáticos de fluxo de trabalho e escalonamento
  • Modos de autonomia total / parcial
  • Ciclo pense-aja-decida, não apenas recuperação

Quickstart · Docs · Website · Hosted Version · Packages

Not to be confused with install.ragleap.com — that's a separate, paid, license-gated self-hosted product. ragleap-core (this repo) is MIT-licensed, completely free, and never requires a license key.

Install

pip install ragleap-rag

⭐ Se isso ajudar, considere dar uma estrela ao repositório — realmente ajuda mais pessoas a encontrá-lo.

Prefer Java? ragleap-rag is also on Maven Central:

<dependency>
    <groupId>io.github.antonyrag</groupId>
    <artifactId>ragleap-rag</artifactId>
    <version>0.5.0</version>
</dependency>

Add ragleap-graph for Neo4j-backed knowledge graph retrieval:

pip install ragleap-rag ragleap-graph

Add ragleap-vectorstores for pluggable vector backends:

pip install ragleap-rag ragleap-vectorstores[chroma]

Recursos
📄 Document ingestion Upload PDFs, text, and common document formats
🔍 RAG retrieval Vector search over your documents via pgvector
💬 Chat with citations Answers reference the source document, not a black box
🔌 Bring your own AI key OpenAI, Gemini, Anthropic, or any OpenAI-compatible endpoint
🌐 Web chat widget Embed a chat widget on any website
🐳 Docker-based setup One-command local deployment
🕸️ Knowledge Graph (Neo4j) Entity extraction and graph-boosted retrieval alongside vector search
🌍 Language detection Auto-detects document and query language, applied across every channel
🔗 Integrations Connect MySQL, PostgreSQL, MongoDB, REST APIs, Salesforce, HubSpot, Shopify, Google Sheets, Stripe
🔀 Hybrid search Combines dense (vector) and sparse (full-text) retrieval via Reciprocal Rank Fusion
⚡ Streaming responses Answers stream token-by-token instead of waiting for the full response
🔁 Provider fallback Automatically retries with a backup LLM provider if the primary fails
💰 Token usage reporting Real per-call token counts from the provider
🧑‍💼 AI Employees Role-based agents (46 default roles) with persistent business-context memory
🛠️ Build your own AI Employee Define a fully custom role via PATCH /employees/{role}
🔗 n8n workflow automation Fire a webhook after the AI replies on WhatsApp/Telegram/Discord

Início rápido

A maneira mais rápida de experimentar — um comando verifica o Docker, clona o repositório e configura o .env para você:

curl -fsSL https://raw.githubusercontent.com/antonyrag/ragleap-core/main/install.sh | bash

(Windows users: run this in Git Bash, not Command Prompt or PowerShell.)

Or, the manual way:

git clone https://github.com/antonyrag/ragleap-core.git
cd ragleap-core
cp .env.example .env
# add your Gemini API key to .env
docker compose up --build -d

Requirements: Docker, Docker Compose, an API key from OpenAI, Google Gemini, or Anthropic.

Supported LLM Providers (BYOK)

LLM_PROVIDER value Required env vars Notes
gemini (default) GEMINI_API_KEY Get a key at aistudio.google.com/apikey
anthropic ANTHROPIC_API_KEY, ANTHROPIC_MODEL
openai OPENAI_API_KEY, OPENAI_MODEL
mistral MISTRAL_API_KEY, MISTRAL_MODEL
groq GROQ_API_KEY, GROQ_MODEL Free tier available
ollama OLLAMA_MODEL (no API key needed) Self-hosted
deepseek DEEPSEEK_API_KEY, DEEPSEEK_MODEL
custom CUSTOM_API_KEY, CUSTOM_MODEL, CUSTOM_BASE_URL Any OpenAI-compatible endpoint

Contributing

RagLeap Core is working, tested, and open for contributions now. See CONTRIBUTING.md for how to get started.

License

MIT © 2026 RagLeap