Seamlessly connect your internal data-PDFs, documents, and web content-to build bots that answer using your company’s own expertise, powered by Retrieval-Augmented Generation (RAG).
LLMs struggle to process and retain large volumes of complex enterprise data.
Disorganized or siloed data sources hinder coherent AI understanding and coordination.
Generic AI lacks specialization, leading to poor accuracy in domain-specific queries.
Low-quality or unstructured data leads to inconsistent outputs and failed AI implementations.
Easily connect your existing knowledge base with our platform. Upload and integrate documents across multiple formats—PDF, DOC, PPT, XLS, TXT, MD, CSV, ZIP, RAR, and more.
Transform spreadsheets and Q&A into intelligent knowledge.
Beyond unstructured documents, GalaxPlay enables you to train AI bots using structured formats such as Excel tables, CSV datasets, and Q&A pairs. This structured input ensures your bots deliver accurate, context-aware responses with greater consistency and clarity.
Seamlessly connect your AI bots with external platforms like Notion, Google Drive, Dropbox, Airtable, and more. GalaxPlay allows easy data synchronization from third-party sources and custom APIs, enabling your bots to access live, up-to-date information across your tech stack.
Instantly modify uploaded knowledge files within the platform itself, streamlining updates without needing re-uploads.
Update live website content seamlessly with one click, keeping your AI knowledge current and relevant.
Precisely manage and control segmented knowledge for more accurate and context-aware AI responses.
Our platform refines and structures knowledge sources to generate Q&A formats ideal for Retrieval-Augmented Generation (RAG) systems and large language model (LLM) fine-tuning.
Structured Q&A storage improves recall precision, helping AI bots deliver faster, more accurate responses by accessing information more efficiently.
Refine bot performance using real-time chat history analysis and iterative Q&A refinement. This continuous loop enhances bot accuracy and responsiveness over time.
Utilize structured Q&A datasets directly for LLM fine-tuning. This approach reduces complexity and accelerates the process of customizing large language models for domain-specific tasks.
Galaxplay has brought about a revolutionary transformation in our business operations. Notably, customer interactions have become more engaging and personalized, creating a positive impact on our overall customer experience.
As a tech-forward company, we needed a solution that could keep up. Galaxplay not only met but exceeded our expectations. The open Bots Market allows us to explore endless possibilities, and our customers love the personalized experiences.
The knowledge base importing feature of Galaxplay is a lifesaver. Uploading our data was a breeze, and the AI bots now provide astute responses, showcasing the depth of our expertise. It's an invaluable tool for our customer support team.
Leverage advanced embedding models to semantically match queries with knowledge, ensuring highly relevant and accurate results across all AI interactions.
Combine dense and sparse vector retrieval for superior precision. This hybrid approach boosts accuracy by fusing semantic search with traditional keyword-based retrieval.
Evaluate the performance of your knowledge embeddings with real-time retrieval testing, helping you measure and refine the effectiveness of your data sources.
GalaxPlay ensures your data remains safe with industry-leading security protocols. We implement end-to-end encryption for all transmissions, enterprise-grade security for account-level isolation, and redundant cloud storage with automated backups to prevent any data loss. Your knowledge remains private and protected, allowing your AI to operate with complete confidence. Trust GalaxPlay for peace of mind and unwavering data safety.