Query Memory: API for Converting Documents into Queryable Knowledge for AI Agents
By
hritvik Gupta
2mo ago· 1 min readenProduct
38/100
Stale
Bagelometer↗
Crumbles when you bite it. Light on filling.
Score38Typepress releaseSentimentpositive
Summary
Query Memory is a tool that enables AI agents to access and query documents, websites, and files by converting them into queryable knowledge bases. It handles the technical complexities of parsing, chunking, embeddings, and retrieval, eliminating the need for users to build complex RAG pipelines. Users can upload files or connect web sources to create knowledge bases quickly and access them through API or built-in chat interfaces.
Key quotes
· 5 pulledYour AI agents are only as powerful as the data they can access.
Query memory turns documents, websites, and files into instantly queryable knowledge for AI agents.
Upload files or connect web sources to create a knowledge base in seconds.
Query Memory handles parsing, chunking, embeddings, and retrieval so you don't have to build complex RAG pipelines.
Build agents, attach knowledge, and query everything through API or built-in chat.
Your AI agents are only as powerful as the data they can access. Query memory turns documents, websites, and files into instantly queryable knowledge for AI agents. Upload files or connect web sources to create a knowledge base in seconds. Query Memory ha
