Using FAQ Template

FAQ Template allows a Curator to create an Artifact and add Question and Answer (Q&A) pairs to hold knowledge. For each Q&A pair, Ontology analysis is performed, generating metadata for the content as well as Q&A pairs. These Q&A pairs are registered as FAQs that are linked to the Artifact as well as the topic identified during Ontology generation.

Below are the steps to create an Artifact using the FAQ Template:

On the Create Artifact window, select Template.

1. On the Create Artifact window, navigate to the Using Template tab.

2. Select FAQ Template as Template Type.

3. Add Artifact Name.

4. Add Summary. For the Metadata-based search, It is important that the summary is well-formed and describes the information in the document well. The text in this field is used by the NLP engine to generate Metadata.

5. Click on Add Q&A Pairs.

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Add Q&A Pairs

In this step, the system allows you to add one or more Q&A pairs. Information in these pairs is used to generate related metadata attributes like Parent Topic Action, and Motivation for each Q&A pair.

1. Click on Add Q&A Pair to add new QnA pairs

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2. On Add Questions & Answer pair screen, add details. Once done, click on the Add Q&A Pair button.

3. The Q&A is added to the list. You may add multiple Q&A pairs to the Artifact.

4. On the Artifact page, Click on Create.

5. The Artifact is now created and available in the Knowledge Store.

6. Based on the Artifact Publishing Mode configuration for your tenant and the identified metadata, the Artifact state is determined. For more information, refer to Tenant Configurations.

Processing the Artifact

For Metadata Search:

Once the Artifact is added, Luma generates ontology for the artifact. The Metadata is added to the artifact, which is then used to identify Knowledge during the search. When Open AI features system performs the following:

1. Summarize Artifact- If Automatic Summarization is enabled for your tenant, the content in the artifact is used to generate a Summary. In case the curator adds the Summary during artifact creation, the step is skipped.

2. Generate Keywords and Key Phrases: Based on the Summary and FAQs added, metadata attributes like Topic, Subject Action, Motivation, and Key Phrases are generated. If Automatic Keyword and Key Phrase generation is enabled for your tenant, the system automatically generates valid and meaningful full keywords and key phrases. On click of Generate Ontology, the NLP engine parses the information added to the Artifact and identifies the metadata, which is used to understand the user’s intent during the search.

For Semantic Search:

Once the Artifact is added, No Curation of the artifact is required. Ontology, Summary, and FAQ generation are skipped for Semantic Search. The system automatically does the following to generate the searchable artifact content.

• Data Extraction and Chunking: In this phase, text is collected or extracted from the source document. The extracted text is then divided into manageable chunks, typically at the semantic level (e.g., paragraphs).

• Vectorization: The text chunks undergo embedding, where they are converted into vectors or numerical forms. This conversion is crucial for enabling efficient and accurate search capabilities. The resulting embeddings are stored in a vector database, ready for search and retrieval operations.