Company intelligence
GuidedMind, Inc
RAG-as-a-service
About GuidedMind, Inc
Guided Mind is the Precision RAG Platform designed for developers and enterprises who demand absolute control over their retrieval-augmented generation workflows. We move beyond "black box" AI by providing a transparent, customizable infrastructure for multi-modal document intelligence. Our Mission: To enable engineering teams to build production-ready RAG applications with high-fidelity data retrieval, advanced OCR, and verifiable accuracy. What We Do: We provide a low-latency API and dashboard that manages the entire RAG lifecycle—from ingestion to generation. Unlike standard vector databases or wrapper libraries, Guided Mind offers granular control over: Multi-Modal Ingestion: Native processing of PDFs, DOCX, Excel, Images, and HTML with advanced OCR (Tesseract, PaddleOCR). Intelligent Chunking: Configurable semantic, recursive, or fixed-size chunking strategies to optimize context for LLMs. Hybrid Retrieval: A blend of Vector search and BM25 keywords with dynamic reranking to ensure the most relevant context is retrieved. Truth & Quality Monitoring: A dedicated dashboard to visualize document relationships, track query performance, and prevent hallucinations before they reach production. Whether you are building internal knowledge bases, automated compliance auditors, or complex financial analysis bots, Guided Mind gives you the infrastructure to deploy with confidence.
Verified activity
Signals from GuidedMind, Inc
2 published signals
Products & Services
GuidedMind, Inc has packaged the context layer as a working scaffold for agent projects, including a knowledge base with a configurable pipeline, hybrid retrieval, scored queries, and session memory with per-user load-and-save every turn.
Reported by Eugene Ilinykh
Products & Services
GuidedMind, Inc published a new video demonstrating how to fix the failure in N8N by monitoring scores, adjusting embedding settings, switching to hybrid search, and re-processing documents.
Reported by Eugene Ilinykh