
Access your memory folders to search and manage documents
Create a new memory/document in your memory folder
Update an existing memory/document with new content and/or metadata. Use append to add to existing content, or replace to overwrite
Find and retrieve a single memory/document by its ID or name
Query and list memories/documents in your memory folder. Call with no parameters to list all memories, or provide filters to narrow results
Search memories/documents using semantic similarity. Finds memories that are conceptually similar to your query, even if they do not share exact keywords
Get the semantic propositions for a specific memory/document. Propositions are atomic facts extracted from the document. Returns empty array if semantic embeddings are disabled
List all memories/documents in a memory folder. Returns a lightweight array with just id, name, and created_at for each record. Use this when you need an overview or want to browse available memories without loading full content
Use the qbash memories feature to create an on the fly, searchable AI RAG database that extends past usual context limits. Upload hundreds of documents including PDF, PPT, DOC and then chat with your data.
Upload documents, let qbash index them, and query them from chat, prompts, and workflows in one place. Semantic search, vector descriptions, and real team use cases.
qbash chat updates: view context limits, render charts and flowcharts in chat, and use Memories via MCP. Build and share AI context across tools.
Sign up for free to connect Memories and use its tools in your workflows and prompts.