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ai-and-app-modernisation/ai-services/ai-language/ai-email-analyis/files/README.md

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Email Analysis Table Scripts - emailcategorization.sql
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AI Language Custom Text Classification Model for Email Category Training Dataset - bank_complaints_category.csv
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AI Language Custom Text Classification Model for Email SubCategory Training Dataset - bank_complaints_subcategory.csv
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Oracle Analytics Cloud Real-Time Email Analysis Dashboard - Real_Time_Outlook_Email_Analysis.dva
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Please find the **email_sent_analysis_categ_sol_resources** archive in <a href="./email_sent_analysis_categ_sol_resources.zip">/files/email_sent_analysis_categ_sol_resources.zip</a>
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Copyright (c) 2024 Oracle and/or its affiliates.
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The Universal Permissive License (UPL), Version 1.0
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Subject to the condition set forth below, permission is hereby granted to any
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person obtaining a copy of this software, associated documentation and/or data
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(collectively the "Software"), free of charge and under any and all copyright
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rights in the Software, and any and all patent rights owned or freely
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licensable by each licensor hereunder covering either (i) the unmodified
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Software as contributed to or provided by such licensor, or (ii) the Larger
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Works (as defined below), to deal in both
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(a) the Software, and
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(b) any piece of software and/or hardware listed in the lrgrwrks.txt file if
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one is included with the Software (each a "Larger Work" to which the Software
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is contributed by such licensors),
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without restriction, including without limitation the rights to copy, create
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derivative works of, display, perform, and distribute the Software and make,
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use, sell, offer for sale, import, export, have made, and have sold the
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Software and the Larger Work(s), and to sublicense the foregoing rights on
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either these or other terms.
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This license is subject to the following condition:
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The above copyright notice and either this complete permission notice or at
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a minimum a reference to the UPL must be included in all copies or
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substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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# Low Code Modular RAG-based Knowledge Search Engine using OCI Generative AI, OCI Vector Search, and Oracle Integration Cloud
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In this article, we'll explore how to enable an enterprise-grade RAG-based Knowledge Search Engine with a low-code approach.
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You’ll learn how to use Oracle Integration Cloud to integrate and orchestrate business chanels like a Web Application built in Oracle Visual Builder, productivity channels like OCI Object Storage, local large and small language models (LLMs), and vector databases to ingest live data into the RAG-based Knowledge Search Engine store.
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You'll use Oracle Cloud Infrastructure (OCI) Document Understanding to extract information from different document types. Leverage OCI Generative AI for document summarization, generation and synthesis of answers to questions on documents. Use OCI DB Cloud Service 23AI for Document Extraction, Vector Search and Embedding (using ONNX local models to the DB) capabilities , and apply local OCI Data Science models for better answers from advanced RAG.
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Reviewed: 30.05.2024
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# When to use this asset?
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See the README document in the /files folder.
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# How to use this asset?
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See the README document in the /files folder.
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# License
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Copyright (c) 2024 Oracle and/or its affiliates.
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Licensed under the Universal Permissive License (UPL), Version 1.0.
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See [LICENSE](https://github.com/oracle-devrel/technology-engineering/blob/main/LICENSE) for more details.

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