An API for all the documents your AI agents need
Your AI agents are only as powerful as the data they can access. Query Memory transforms your documents, websites, and files into an instantly searchable knowledge base. Upload files or connect web sources to create a knowledge base in seconds. Query Memory handles parsing, chunking, embeddings, and retrieval, saving you from building complex RAG pipelines. Create agents, attach knowledge, and query everything via API or built-in chat.
For university students, Query Memory enables the creation of personalized study guides from lecture notes and textbooks. Students can upload PDFs of their notes and textbooks, then use the API to ask specific questions and receive summarized answers, like 'Explain the key concepts of photosynthesis from my biology textbook'.
For freelance consultants, Query Memory allows for the organization and quick retrieval of client-specific documentation. A consultant can upload all project-related documents and then use the API to instantly find specific clauses in contracts or details from past project reports, such as 'What were the agreed-upon deliverables for Project X?'
For academic researchers, Query Memory facilitates efficient analysis of research papers by creating a searchable knowledge base. Researchers can upload multiple papers and then query for specific methodologies or findings across all documents, for instance, 'What studies in this corpus used qualitative interviews to assess user experience?'
For small business owners, Query Memory helps build an internal knowledge base from company documents and policies. This allows employees to quickly find information, such as 'Where can I find the company's HR policy on remote work?' thereby reducing repetitive questions to management.
Query Memory offers a free tier that includes 25 document parses per month and basic features. For higher usage limits and more advanced capabilities, paid plans are available.
Query Memory has a scalable pricing model. While specific pricing details beyond the free tier are not readily available in the provided search results, they offer plans ranging from individual use to enterprise solutions.
Alternatives to Query Memory include Parametric Memory, which offers features like Merkle proofs and Markov prediction for AI agent memory. Other similar tools mentioned are Folderr, R2R, and Claude Folder Upload.
Query Memory is primarily an API-first platform designed for developers to integrate into their AI workflows. It does not appear to offer dedicated mobile or desktop applications for end-users.
Query Memory is a cloud-based service accessed via an API. There is no installation required; users sign up for an account on their website and can begin using the service through API calls.
Information regarding Query Memory's specific security measures or GDPR compliance was not found in the provided search results. Users concerned about data privacy should consult Query Memory's official documentation or contact their support.
Query Memory can process a variety of document formats, including PDF, DOCX, spreadsheets, HTML, and images. It parses these into structured elements for building searchable knowledge bases.
We're still verifying the official pricing for Query Memory. In the meantime, the most up-to-date plans and prices are available directly on the publisher's website.
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