| CPC G06F 16/152 (2019.01) | 20 Claims |

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1. A computer-implemented method for information retrieval via artificial intelligence, the method comprising:
accessing, by at least one computing device configured by executing instructions stored on non-transitory processor readable media, content stored in documents in at least one database;
identifying, by the at least one computing device, contextual chunks of individual ones of the documents, wherein the contextual chunks include portions of content stored in the individual ones of the documents;
generating, by the at least one computing device, embeddings associated with the contextual chunks;
storing, by the at least one computing device, the embeddings in a vector database;
identifying, by the at least one computing device as a function of natural language processing, a plurality of relationships among at least some of the contextual chunks;
generating, by the at least one computing device, relational embeddings using the plurality of identified relationships;
storing, by the at least one computing device, the relational embeddings in a database;
receiving, by the at least one computing device from at least one other computing device, a query for information associated with at least some of the content;
generating, by the at least one computing device, an embedding representing the query;
transmitting, by the at least one computing device to at least one large language model, the embedding representing the query;
receiving, by the at least one computing device from the at least one large language model in response to the embedding representing the query, a response including at least some of the contextual chunks; and
transmitting, by the at least one computing device, the response to a computing device associated with the query.
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