Best alternatives to RagLeap Core in 2026

Chatbots that answer questions from a company's own documents — support tickets, product docs, internal wikis — usually run on something called RAG (retrieval-augmented generation): the AI looks up the relevant document before answering, instead of guessing from what it was trained on. Most services that offer this charge monthly per seat or per query and keep your documents on their servers. RagLeap Core is the same idea, but you run it yourself. RagLeap Core is an open-source (MIT-licensed), self-hosted RAG engine extracted from a real production deployment that was answering actual customer questions, combining retrieval-augmented generation with multi-agent automation and voice capabilities. It ingests documents in 28+ formats, supports hybrid vector and full-text search, builds knowledge graphs via Neo4j, and offers 46 configurable "AI employee" roles. It connects to real-time business data from MySQL, PostgreSQL, MongoDB, and SaaS platforms like Salesforce, HubSpot, and Stripe, and ships channel adapters for WhatsApp, Telegram, Discord, and voice via Twilio, with support for 19 different LLM providers (OpenAI, Anthropic, Gemini, Mistral, Groq, DeepSeek, and others).