Memory & Knowledge
Knowledge Vault
Upload documents for use in RAG pipelines.
The knowledge vault stores documents that RAG (retrieval-augmented generation) pipelines can search through. All uploaded documents are embedded into a vector store (LanceDB) and retrieved automatically when a pipeline uses a memory-read node.
Supported file types
- DOCX
- TXT
- MD
- CSV
Uploading documents
- Go to Memory > Knowledge Vault.
- Click Upload File.
- Select a file from your computer.
- GridWork embeds it into the vector store.
The document is searchable within 30 seconds.
Reindexing
If you update a document or add new files, click Reindex to re-embed everything. GridWork re-processes all vault documents and updates the vector store.
Reindexing takes a few minutes depending on file size.
Using the vault in pipelines
In the React Flow editor, add a Memory Read node and select Knowledge Vault. The node will retrieve relevant documents based on a query and pass them to downstream LLM nodes.
Deleting documents
- Go to Memory > Knowledge Vault.
- Click the delete icon next to a file.
- Click Reindex to update the vector store.