
ShinRAG
Visual RAG and Agent Pipelines, Instantly
ShinRAG launched on December 2, 2025 with 10 votes, #860 of 11,628 launches that month and more than 50% of that year's launches.
What it does
A fully managed RAG platform with a visual pipeline builder. No servers to wrangle, no infrastructure headaches. Deploy AI agents in minutes and use them directly on the platform or through the developer API. It’s dramatically faster and cleaner than stitching together your own RAG stack. Ingest, store, and reuse your datasets with ease. Skip the vector-DB circus. ShinRAG handles it.
Enterprise-grade visual workflow builder for RAG pipelines. Drag-and-drop builder for LLM orchestration, multi-agent automation, and intelligent workflows. Production-ready with enterprise security.
Drag-and-drop AI pipeline builder for document Q&A, support triage, market research, and content generation. Connect RAG agents to Slack, databases, GitHub, and email. From $19/mo. Purpose-built for AI. Not a general automation tool with AI bolted on. Process documents, triage tickets, and route results to Slack or your database -- all in a visual drag-and-drop interface. Replace custom-built apps and manual processes with AI pipelines you can set up in minutes and run on autopilot. No infrastructure to set up. No months of development. Just results. CSV, JSON, PDF, or connect your database. Auto-indexed with embeddings in minutes. No vector DB setup required. Drag agents, conditionals, and…from shinrag.com
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FastGraphRAG – Better RAG using good old PageRank2024 · github.com · ▲457Hey there HN! We’re Antonio, Luca, and Yuhang, and we’re excited to introduce Fast GraphRAG, an open-source RAG approach that leverages knowledge graphs and the 25 years old PageRank for better information retrieval and reasoning. Building a good RAG pipeline these days takes a lot of manual optimizations. Most engineers intuitively start from naive RAG: throw everything in a vector database and hope that semantic search is powerful enough. This can work for use cases where accuracy isn’t too important and hallucinations are tolerable, but it doesn’t work for more difficult queries that…


IgnitionRAGApr 2026 · ignitionrag.com · ▲83Multimodal RAG platform, from POC to production in minutes


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