97 lines
3.1 KiB
SQL
97 lines
3.1 KiB
SQL
create or replace function fnc_26ai_rag_utilities (p_ai_prompt IN clob,
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p_oci_cred IN VARCHAR2,
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p_id in number,
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p_comp_id in varchar2)
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return clob
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as
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/*
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Criado por: fernando.leal@oracle.com
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Data: Dez/2025
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Objetivo: demonstrar casos de uso do Oracle AI Database 26ai
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v1 - funcao de RAG para Utilities - leal
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*/
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-- modelos: https://docs.oracle.com/en-us/iaas/Content/generative-ai/pretrained-models.htm
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-- cuidado com pre requisito (1)
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gen_ai_endpoint varchar2(500) := 'https://inference.generativeai.us-chicago-1.oci.oraclecloud.com';
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gen_ai_model varchar2(500) := 'meta.llama-4-maverick-17b-128e-instruct-fp8';
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chat_resp dbms_cloud_types.RESP;
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image_resp dbms_cloud_types.RESP;
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base64_image CLOB := NULL;
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request_json_part1 CLOB;
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request_json_part2 CLOB;
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request_body BLOB;
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v_ext varchar2(20);
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BEGIN
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-- create temp blobs
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dbms_lob.createtemporary(request_body, FALSE);
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select APEX_WEB_SERVICE.BLOB2CLOBBASE64( FILE_BLOB ,'N','N' ) ,
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lower(regexp_replace(file_name, '.*\.([a-zA-Z0-9]+)$', '\1'))
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into base64_image, v_ext
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from TB_26AI_UTILITIES
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where id = p_id;
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request_json_part1 := to_clob(
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'{
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"compartmentId": "' || p_comp_id || '",
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"servingMode":
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{
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"modelId": "' || gen_ai_model || '",
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"servingType": "ON_DEMAND"
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}
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,
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"chatRequest": {
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"apiFormat": "GENERIC",
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"messages": [
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{
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"role": "USER",
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"content": [
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{
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"type": "TEXT",
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"text": "' || replace(replace(replace(replace( p_ai_prompt ,chr(10),null),chr(13),null),'"',''),'''','') || '"
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},
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{
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"type": "IMAGE",
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"imageUrl": {
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"url": "data:image/' || v_ext || ';base64,');
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request_json_part2 := to_clob('"
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}
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}
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]
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}
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],
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"maxTokens": 4000,
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"temperature": 0
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}
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}');
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-- append part1 json to request blob
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dbms_lob.append(request_body, apex_util.clob_to_blob(p_clob => request_json_part1,p_charset => 'AL32UTF8'));
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-- append base64 image to request blob
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dbms_lob.append(request_body, apex_util.clob_to_blob(p_clob => base64_image,p_charset => 'AL32UTF8'));
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-- append part2 json to request blob
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dbms_lob.append(request_body, apex_util.clob_to_blob(p_clob => request_json_part2,p_charset => 'AL32UTF8'));
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-- call Gen AI Chat
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chat_resp := dbms_cloud.send_request(
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credential_name => p_oci_cred,
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uri => gen_ai_endpoint || '/20231130/actions/chat',
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method => dbms_cloud.METHOD_POST,
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body => request_body
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);
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-- clear temp blobs
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dbms_lob.freetemporary(request_body);
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RETURN json_value( dbms_cloud.get_response_text(chat_resp),'$.chatResponse.choices[0].message.content[0].text') ;
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END;
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/ |