SYSTEMS AND METHODS FOR ENHANCING ACCURACY OF CONVERSATIONAL INFORMATION RETRIEVAL FOR COMMERCE

1 . A method of customer engagement comprising:

receiving a product catalog including information associated with a plurality of products;

encoding product data by at least one of generating a reverse text index associated with a plurality of products in the product catalog or vectorizing embeddings of the information associated with the plurality of products in the product catalog;

storing the encoded product data in a product catalog database;

receiving input from an end user;

at least one of converting the end user input to a text query or creating input vectors by vectorizing embeddings associated with the input;

retrieving at least one list of products from the product catalog database based on at least one of the text query or the input vectors associated with the input; and

outputting a response to the end user, wherein the response includes a selectable link to product information of products of the at least one list of products.

2 . The method of claim 1 , further comprising:

performing transforms on the product catalog;

inputting the transforms into a large language model; and

receiving embeddings of the information associated with a plurality of products in the product catalog from the large language model.

3 . The method of claim 1 , further comprising:

outputting the at least one list of products to a large language model;

receiving a completion from the large language model; and

generating the response.

4 . A non-transitory computer readable medium, storing thereon computer readable instructions that when read by a computer cause a processor to perform a customer engagement method comprising:

receiving a product catalog including information associated with a plurality of products;

encoding product data by at least one of generating a reverse text index associated with a plurality of products in the product catalog or vectorizing embeddings of the information associated with the plurality of products in the product catalog;

storing the encoded product data in a product catalog database;

receiving input from an end user;

at least one of converting the end user input to a text query or creating input vectors by vectorizing embeddings associated with the input;

retrieving at least one list of products from the product catalog database based on at least one of the text query or the input vectors associated with the input; and

outputting a response to the end user, wherein the response includes a selectable link to product information of products of the at least one list of products.

5 . The non-transitory computer readable medium of claim 4 , further comprising:

performing transforms on the product catalog;

inputting the transforms into a large language model; and

receiving embeddings of the information associated with a plurality of products in the product catalog from the large language model.

6 . The non-transitory computer readable medium of claim 4 , further comprising:

outputting the at least one list of products to a large language model;

receiving a completion from the large language model; and

generating the response.

7 . A system for customer engagement comprising:

a processor configured to:

receive a product catalog including information associated with a plurality of products;

encode product data by at least one of generating a reverse text index associated with a plurality of products in the product catalog or vectorize embeddings of the information associated with the plurality of products in the product catalog;

store the encoded product data in a product catalog database;

receive input from an end user;

at least one of convert the end user input to a text query or create input vectors by vectorizing embeddings associated with the input;

retrieve at least one list of products from the product catalog database based on at least one of the text query or the input vectors associated with the input; and

output a response to the end user, wherein the response includes a selectable link to product information of products of the at least one list of products.

8 . The system of claim 7 , further comprising:

perform transforms on the product catalog;

input the transforms into a large language model; and

receive embeddings of the information associated with a plurality of products in the product catalog from the large language model.

9 . The system of claim 7 , further comprising:

output the at least one list of products to a large language model;

receive a completion from the large language model; and

generate the response.

10 . (canceled)