Query Memory
Query Memory is a unified workspace platform that enables parsing documents, managing data, and deploying AI agents through API-first architecture with capabilities for knowledge indexing, agent endpoints, and web parsing.
https://www.querymemory.com/?ref=producthunt
Product Information
Updated:Mar 16, 2026
What is Query Memory
Query Memory is a comprehensive document processing and AI agent platform designed to help developers and organizations handle mixed document types and deploy production-ready AI workflows. It provides a unified API-driven workspace where users can parse various document formats, build searchable knowledge bases, configure AI agents, and implement web parsing capabilities. The platform serves as a bridge between raw document data and structured, queryable information that can be leveraged through AI agents.
Key Features of Query Memory
Query Memory is a unified workspace platform that enables document parsing, knowledge indexing, and AI agent deployment through a single API-first interface. It allows users to process various document types (PDF, DOCX, sheets, HTML, images), build searchable knowledge bases, and run production agent workflows while offering high-throughput ingestion, indexing, and retrieval capabilities across mixed document and web data.
Unified Document Processing: Parse and process multiple document formats (PDF, DOCX, sheets, HTML, images, text) into structured elements through a single API interface
Knowledge Base Management: Create and manage searchable knowledge bases from indexed documents with fast semantic retrieval capabilities
AI Agent Configuration: Deploy and configure grounded AI agents with model controls, prompts, and source-aware responses for automated workflows
Web Parsing Integration: Run domain-scoped web extraction and ranked retrieval for live external context gathering
Use Cases of Query Memory
Biotech Research Analysis: Process and analyze genome analysis documents, clinical pipeline notes, and research papers through knowledge bases and specialized agents
Document Management Systems: Create searchable repositories from mixed document types with semantic search capabilities for enterprise document management
Automated Data Extraction: Extract structured information from various document formats for data processing and analysis in production environments
Pros
High performance with 90% throughput benchmark compared to other services
Unified API interface for all document types and services
Scalable pricing model from free tier to enterprise solutions
Comprehensive analytics and usage tracking capabilities
Cons
Limited features in free tier (only 25 document parses/month)
May require technical expertise to fully utilize API capabilities
How to Use Query Memory
Sign up for an account: Choose between Free, Pro or Enterprise plan based on your needs. Free plan includes 25 document parses/month and basic features to get started.
Upload documents: Upload your documents (PDF, DOCX, sheets, HTML, images, text) to Query Memory's workspace for parsing and indexing.
Create a knowledge base: Set up a knowledge base to organize and index your uploaded documents for semantic search and retrieval.
Configure API access: Get your API key from the dashboard to start making API calls. API keys can be managed and monitored under the API Keys section.
Query documents via API: Use the REST API endpoint POST /api/v1/knowledge/{knowledge_id}/query to search and retrieve information from your indexed documents using natural language queries.
Set up agents (optional): Configure AI agents with specific knowledge bases and web access permissions to automate document processing workflows.
Monitor usage: Track your usage metrics including requests, storage, and endpoint traffic through the Usage Overview dashboard.
Scale as needed: Monitor usage and upgrade plan as your needs grow. Pro plan offers 500 document parses/month and Enterprise plan provides custom limits.
Query Memory FAQs
Query Memory is a unified workspace platform that allows users to parse documents, manage data, and deploy AI agents. It provides services for document parsing, knowledge indexing, agent endpoints, and web parsing through a single API-first stack.
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