Retrieve or Migrate Agentforce Data Library
Data Library cannot be deployed sandbox to production. DataObjectSearchIndexConf retrieve and __dlm deploy fail. GPTfy RAG has no Data Library.
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Data Library cannot be deployed sandbox to production
Data Library cannot be deployed sandbox to production. DataObjectSearchIndexConf retrieve and __dlm deploy fail. GPTfy RAG has no Data Library.
Sandbox Data Library deploy is not supported
Patlatus, accepted 2026-01-20, quotes Salesforce: sandbox Data Library deploy is not supported. DataObjectSearchIndexConf retrieve returns nothing. __dlm deploy errors. AiGroundingLibrary is not a supported sObject in Spring 2026.
“GPTfy does not migrate Data Library.”
Solve this with Data CloudIndex and chunk objects will not deploy
Data Library uses unstructured sources and Data Cloud objects (__dlm). Those objects show up in the org. They will not deploy through Metadata.
“ADL Connect API creates and manages Data Library in-org. It does not Metadata-retrieve a library across orgs.”
Address this with Book a demoLLMs hallucinate even with RAG (Vectara)
GPTfy RAG indexes Knowledge, custom objects, PDFs, external objects, and website content into the customer's vector store (Pinecone, Vertex, Azure Search, REST) via Named Credentials. No Data Library. No Data Cloud SKU. No Data Cloud required.
“4-layer masking runs before embed. Embeddings leave the org after they are masked.”
Secure this with Security LayerCan I retrieve or migrate Agentforce Data Library with Metadata API?
Sandbox Data Library deploy is not supported
No. Patlatus, accepted 2026-01-20, quotes Salesforce: sandbox Data Library deploy is not supported. DataObjectSearchIndexConf retrieve returns nothing. __dlm deploy errors. AiGroundingLibrary is not a supported sObject in Spring 2026. SE 438615.
GPTfy does not migrate Data Library.
Why do __dlm / index / chunk objects appear, and why won't they deploy?
Data Library uses unstructured sources and Data Cloud objects (__dlm). Those objects show up in the org. They will not deploy through Metadata. Salesforce documents that Data Library changes cannot be deployed from sandbox to production or another sandbox.
Is the ADL API the same as a metadata migrate?
ADL Connect API is in-org management, not Metadata retrieve
No. ADL Connect API creates and manages Data Library in-org (GET, PATCH, files, index) plus CLI agent adl create. That is not Metadata retrieve. It does not move a sandbox Data Library to production.
How does GPTfy ground Knowledge and files without a Data Library?
GPTfy RAG indexes Knowledge, custom objects, PDFs, external objects, and website content into the customer's vector store (Pinecone, Vertex, Azure Search, REST) via Named Credentials. 4-layer masking runs before embed. No Data Library. No Data Cloud SKU. No Data Cloud required.
Embeddings leave the org after they are masked.
Does this mean I need Data Cloud?
No for GPTfy
No for GPTfy. Data Library is the retriever path after you already chose Data Cloud. See Data Cloud.
Does GPTfy RAG mean 0 hallucinations?
No. LLMs hallucinate 1-30% even with RAG (Vectara). Book a demo.
Why Choose Retrieval-Augmented Generation
No Data Library
GPTfy RAG indexes Knowledge, files, and org objects into the customer's vector store with no Data Library and no Data Cloud SKU.
4-Layer Masking Before Embed
4-layer masking runs before embed. Embeddings leave the org after they are masked.
No Data Cloud Required
No for GPTfy. Data Library is the retriever path after you already chose Data Cloud.
Powerful Capabilities
Metadata API Does Not Migrate Data Library
No. Patlatus, accepted 2026-01-20, quotes Salesforce: sandbox Data Library deploy is not supported. DataObjectSearchIndexConf retrieve returns nothing. __dlm deploy errors. AiGroundingLibrary is not a supported sObject in Spring 2026. SE 438615.
ADL API Is Not a Metadata Migrate
No. ADL Connect API creates and manages Data Library in-org (GET, PATCH, files, index) plus CLI agent adl create. That is not Metadata retrieve. It does not move a sandbox Data Library to production.
GPTfy Grounding Without Data Library
GPTfy RAG indexes Knowledge, custom objects, PDFs, external objects, and website content into the customer's vector store (Pinecone, Vertex, Azure Search, REST) via Named Credentials. 4-layer masking runs before embed. No Data Library. No Data Cloud SKU. No Data Cloud required.
Hallucinations Are Not Zero
LLMs hallucinate 1-30% even with RAG (Vectara).
Key Takeaways
- Salesforce documents that Agentforce Data Library changes cannot be deployed from sandbox to production or another sandbox.
- Metadata retrieve of DataObjectSearchIndexConf and deploy of __dlm objects fail. SE 438615.
- GPTfy RAG indexes Knowledge, files, and org objects into the customer's vector store with no Data Library and no Data Cloud SKU.
- 4-layer masking runs before embed. Embeddings leave the org after they are masked.
- LLMs hallucinate 1-30% even with RAG (Vectara).
Frequently Asked Questions
No. Salesforce documents that Data Library changes cannot be deployed from sandbox to production or another sandbox. DataObjectSearchIndexConf retrieve returns nothing. __dlm deploy errors. SE 438615.
No. It creates and manages Data Library in-org. It does not Metadata-retrieve a library across orgs.
No. GPTfy RAG indexes Knowledge, files, and org objects into the customer's vector store with no Data Library.
No. No Data Cloud required. Data Library is the retriever path after you already chose Data Cloud.
No. LLMs hallucinate 1-30% even with RAG (Vectara).
Explore More Features
Demo: What is RAG?
Watch how RAG retrieves and grounds AI responses
Demo: Snowflake RAG
See RAG with external Snowflake data sources
Security Layer
4-layer masking before embed
Data Cloud
Data Library is the retriever path after you already chose Data Cloud
Book a demo
LLMs hallucinate 1-30% even with RAG (Vectara)
Prompt Builder
No-code AI prompt creation with context mapping
RAG and Salesforce explained
How retrieval-augmented generation works on CRM data.