IgnitionRAG

The platform provides a complete Retrieval‑Augmented Generation (RAG) pipeline that handles multimodal document ingestion, hybrid search, reranking, and agent execution without requiring developers to stitch together multiple frameworks. It supports a wide range of file types—including PDFs, DOCX, PPTX, Excel, Parquet, JSON, and images—and performs OCR, figure extraction, and contextual chunking automatically. Users can connect to any LLM provider via a bring‑your‑own‑key model, paying providers directly with no commission.

For developers, the service offers a REST API defined by OpenAPI, TypeScript and Python SDKs, and a native MCP server, enabling rapid integration of agents and tools within minutes. Business teams access a dashboard with drag‑and‑drop widgets, user feedback collection, and monitoring of cost and quality, allowing them to deploy and manage agents without writing code. The solution targets both technical and non‑technical personas, delivering a single stack that moves projects from proof‑of‑concept to production quickly.