Integrated private cloud ai platform
AssigneeHewlett Packard Enterprise Development LP
InventorsPRAKASH MIRJI, SWAMI VISWANATHAN
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Abstract
Systems and methods are provided for an integrated private cloud AI platform that is deployable at a customer site. The integrated private cloud AI platform can include components deployed at the customer site that utilize an embedding model that accesses/integrates with various knowledge bases and vector data stores locally at the customer site, and permit chatbot-accessible queries to an LLM that utilizes the previously-uploaded embeddings.
Claims20
A computer-implemented method comprising:
- receiving customer data associated with a customer site and converting the customer data into embeddings using an embedding model;
- receiving a search query from a client device;
- authenticating the client device;
- in response to authenticating, providing the search query to a large language model (LLM);
- initiating an authorization process confirming that the client device is allowed to access the customer data accessible by the search query;
- in response to the authorization process, accessing the customer data identified by the LLM that is stored as the embeddings;
- and
- generating and providing a response to the search query based on the customer data.
A private cloud platform comprising:
- a memory storing instructions;
- and
- a processor communicatively coupled to the memory and configured to execute the instructions to:
- receive customer data associated with a customer site and converting the customer data into embeddings using an embedding model;
- receive a search query from a client device;
- authenticate the client device;
- in response to authenticating, provide the search query to a large language model (LLM);
- initiate an authorization process confirming that the client device is allowed to access the customer data accessible by the search query;
- in response to the authorization process, access the customer data identified by the LLM that is stored as the embeddings;
- and
- generate and provide a response to the search query based on the customer data.
A non-transitory computer-readable storage medium storing a plurality of instructions executable by a processor, the plurality of instructions when executed by the processor cause the processor to:
- receive customer data associated with a customer site and converting the customer data into embeddings using an embedding model;
- receive a search query from a client device;
- authenticate the client device;
- in response to authenticating, provide the search query to a large language model (LLM);
- initiate an authorization process confirming that the client device is allowed to access the customer data accessible by the search query;
- in response to the authorization process, access the customer data identified by the LLM that is stored as the embeddings;
- and
- generate and provide a response to the search query based on the customer data.
Dependencies are inferred from the claim text.