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@or-sdk/qna
Advanced tools
The `@or-sdk/qna` package provides a client for working with the QnA (Question and Answer) system in OneReach.ai. With this client, you can perform operations such as loading documents, creating collections, searching in collections, asking questions to g
The @or-sdk/qna
package provides a client for working with the QnA (Question and Answer) system in OneReach.ai. With this client, you can perform operations such as loading documents, creating collections, searching in collections, asking questions to generate answers based on the loaded documents, and managing properties of collections.
A collection is a group of searchable items, also known as passages. It allows you to organize and manage related documents and their passages together under a single entity. When you perform a search or ask a question, the QnA system will search through the passages within the specified collection.
Documents are used to load a bulk of data into a collection. They can be any type of text-based file such as PDFs, text files, or web pages. When you provide a URL for a document, the QnA system downloads the content, splits it into smaller chunks (passages), and adds them to the collection.
A passage is an atomic piece of data that represents a portion of a document. It is the smallest searchable unit within a collection. When you search or ask a question, the QnA system uses vector similarity to find the most relevant passages from all the documents in the collection.
The search process involves comparing the vector representation of the input query (search term or question) with the vector representations of the passages in the collection. The results are ranked based on the similarity between the query and passages, with the most similar passages being returned as the search results.
A property is an additional piece of information that can be added to a collection to store custom metadata about the collection. Properties can have a name, datatype, and an optional description. You can manage properties by adding, updating, or deleting them from a collection.
To install the package, run the following command:
$ npm install @or-sdk/qna
To use the QnA
client, you need to create an instance of the class with the appropriate configuration options. You can either provide the direct API URL or the service discovery URL. Here is an example:
import { QnA } from '@or-sdk/qna';
// with direct api url
const qna = new QnA({
token: 'my-account-token-string',
serviceUrl: 'http://example.qna/endpoint'
});
// with service discovery(slower)
const qna = new QnA({
token: 'my-account-token-string',
discoveryUrl: 'http://example.qna/endpoint'
});
Once you have an instance of the QnA
client, you can use its methods to interact with the OneReach.ai QnA system. The available methods are:
loadDocument
Load a document into a collection.
const collectionId = 'a1b2c3d4-uuid';
const document = await qna.loadDocument(collectionId, {
description: 'A sample document',
url: 'http://example.com/sample-document.pdf',
name: 'Sample Document',
});
// Example response
{
id: 'e5f6g7h8-uuid',
accountId: 'i9j0k1l2-uuid',
collection: 'a1b2c3d4-uuid',
name: 'Sample Document',
description: 'A sample document'
}
createCollection
Create a new collection.
const collection = await qna.createCollection({
description: 'A sample collection',
name: 'Sample Collection',
});
// Example response
{
id: 'a1b2c3d4-uuid',
accountId: 'i9j0k1l2-uuid',
name: 'Sample Collection',
description: 'A sample collection'
}
Creating a collection with additional properties
const collectionWithProperties = await qna.createCollection({
description: 'A collection with properties',
name: 'Collection With Properties',
properties: [
{
name: 'author',
dataType: 'string',
description: 'Author of the document',
},
{
name: 'publishDate',
dataType: 'date',
description: 'Date when the document was published',
},
],
});
// Example response
{
id: 'x1y2z3w4-uuid',
accountId: 'i9j0k1l2-uuid',
name: 'Collection With Properties',
description: 'A collection with properties',
properties: [
{
name: 'author',
dataType: 'string',
description: 'Author of the document',
},
{
name: 'publishDate',
dataType: 'date',
description: 'Date when the document was published',
},
],
}
addProperty
Add a property to an existing collection. Note: We have reserved property names ['accountId', 'collection', 'document', 'content', 'loaderMetadata']. Data types details can be found at https://weaviate.io/developers/weaviate/config-refs/schema#datatypes
const collectionId = 'a1b2c3d4-uuid';
const property = {
name: 'author',
dataType: 'string',
description: 'Author of the document',
};
await qna.addProperty(collectionId, property);
// No direct response, the property is added to the collection
You can verify the added property by retrieving the collection:
const collection = await qna.getCollection(collectionId);
// Example response
{
id: 'a1b2c3d4-uuid',
accountId: 'i9j0k1l2-uuid',
name: 'Sample Collection',
description: 'A sample collection',
properties: [
{
name: 'author',
dataType: 'string',
description: 'Author of the document',
},
],
}
deleteCollection
Delete a collection by its ID.
const collectionId = 'a1b2c3d4-uuid';
await qna.deleteCollection(collectionId);
search
Search for documents in a collection.
const collectionId = 'a1b2c3d4-uuid';
const searchResults = await qna.search(collectionId, {
term: 'search term',
limit: 10,
});
// Example response
[
{
id: 'e5f6g7h8-uuid',
distance: '0.1234',
content: 'Found passage content',
metadata: {}
}
]
// Using where and select options
const searchResultsWithOptions = await qna.search(collectionId, {
term: 'search term',
limit: 10,
where: {
operator: 'Equal',
path: [ 'author'],
valueString: 'John Doe'
},
select: ['author', 'publishDate'],
});
// Example response
[
{
id: 'e5f6g7h8-uuid',
distance: '0.1234',
content: 'Found passage content',
author: 'John Doe',
publishDate: '2020-12-31'
}
]
ask
Ask a question and generate an answer based on the documents in a collection.
const collectionId = 'a1b2c3d4-uuid';
const askResults = await qna.ask(collectionId, {
question: 'What is the meaning of life?',
messages: [
{ role: 'user', content: 'Hello' },
{ role: 'assistant', content: 'Hi there!' },
],
limit: 10,
});
// Example response
{
result: { role: 'assistant', content: 'The meaning of life is 42.' },
searchResult: {
id: 'e5f6g7h8-uuid',
distance: '0.1234',
content: 'Found passage content',
metadata: {}
}
}
updateDocument
Update a document's description.
const collectionId = 'a1b2c3d4-uuid';
const documentId = 'e5f6g7h8-uuid';
const updatedDocument = await qna.updateDocument(collectionId, documentId, {
description: 'Updated document description',
});
// Example response
{
id: 'e5f6g7h8-uuid',
accountId: 'i9j0k1l2-uuid',
collection: 'a1b2c3d4-uuid',
name: 'Sample Document',
description: 'Updated document description'
}
updateCollection
Update a collection's description.
const collectionId = 'a1b2c3d4-uuid';
const updatedCollection = await qna.updateCollection(collectionId, {
description: 'Updated collection description',
});
// Example response
{
id: 'a1b2c3d4-uuid',
accountId: 'i9j0k1l2-uuid',
name: 'Sample Collection',
description: 'Updated collection description'
}
getDocument
Get a document by its ID.
const collectionId = 'a1b2c3d4-uuid';
const documentId = 'e5f6g7h8-uuid';
const document = await qna.getDocument(collectionId, documentId);
// Example response
{
id: 'e5f6g7h8-uuid',
accountId: 'i9j0k1l2-uuid',
collection: 'a1b2c3d4-uuid',
name: 'Sample Document',
description: 'A sample document'
}
getCollection
Get a collection by its ID.
const collectionId = 'a1b2c3d4-uuid';
const collection = await qna.getCollection(collectionId);
// Example response
{
id: 'a1b2c3d4-uuid',
accountId: 'i9j0k1l2-uuid',
name: 'Sample Collection',
description: 'A sample collection'
}
listDocuments
List documents in a collection with optional pagination and query.
const collectionId = 'a1b2c3d4-uuid';
const documents = await qna.listDocuments(collectionId, {
query: 'search query',
size: 10,
skip: 0,
});
// Example response
```json
{
"items": [
{
"id": "e5f6g7h8-uuid",
"accountId": "i9j0k1l2-uuid",
"collection": "a1b2c3d4-uuid",
"name": "Sample Document",
"description": "A sample document"
}
],
"total": 1
}
listCollections
List collections with optional pagination and query.
const collections = await qna.listCollections({
query: 'search query',
size: 10,
skip: 0,
});
// Example response
{
"items": [
{
"id": "a1b2c3d4-uuid",
"accountId": "i9j0k1l2-uuid",
"name": "Sample Collection",
"description": "A sample collection"
}
],
"total": 1
}
deleteDocument
Delete a document from a collection.
const collectionId = 'a1b2c3d4-uuid';
const documentId = 'e5f6g7h8-uuid';
await qna.deleteDocument(collectionId, documentId);
#### `createPassage`
Create a passage and add it to a specific document within a collection.
```typescript
const collectionId = 'a1b2c3d4-uuid';
const params: CreatePassage = {
content: 'This is the content of the passage.',
documentId: 'e5f6g7h8-uuid',
};
const passage = await qna.createPassage(collectionId, params);
// Example response
{
id: 'x1y2z3w4-uuid',
content: 'This is the content of the passage.',
// ...more properties
}
Parameters:
collectionId
(string): The ID of the collection the document belongs to.params
(CreatePassage):
content
(string): The content of the passage to be created.documentId
(string): The ID of the document the passage will be associated with.Returns:
A Passage
object representing the created passage:
id
(string): The ID of the created passage.listPassages
List all passages in a collection with optional pagination and query parameters.
const collectionId = 'a1b2c3d4-uuid';
const params: ListPassages = {
query: 'sample query',
from: 0,
size: 10,
alpha: 0.5,
};
const passages = await qna.listPassages(collectionId, params);
// Example response
{
items: [
{
id: 'x1y2z3w4-uuid',
content: 'This is the content of the passage.',
// ...more properties
},
// ...more passages
],
total: 123
}
Parameters:
collectionId
(string): The ID of the collection to retrieve passages from.params
(ListPassages, optional):
query
(string, optional): Search query for filtering passages.from
(number, optional): Pagination offset.size
(number, optional): Maximum number of passages to retrieve (page size).alpha
(number, optional): Weight between sparse and vector search. 0
- pure sparse search, 1
- pure vector search.Returns:
A List<Passage>
object, which contains:
items
(Passage[]): An array of Passage
objects representing the retrieved passages.
id
(string): The ID of the passage.total
(number): The total number of passages in the collection that match the query.getPassage
Get a single passage from a collection by its ID.
const collectionId = 'a1b2c3d4-uuid';
const passageId = 'x1y2z3w4-uuid';
const passage = await qna.getPassage(collectionId, passageId);
// Example response
{
id: 'x1y2z3w4-uuid',
content: 'This is the content of the passage.',
// ...more properties
}
Parameters:
collectionId
(string): The ID of the collection the passage belongs to.passageId
(string): The ID of the passage to retrieve.Returns:
A Passage
object representing the retrieved passage:
id
(string): The ID of the passage.updatePassage
Update a passage in a collection. Once passage update all the properties of text
datatype
const collectionId = 'a1b2c3d4-uuid';
const passageId = 'x1y2z3w4-uuid';
const params: UpdatePassage = {
content: 'Updated content of the passage',
// ...more properties if needed
};
const updatedPassage = await qna.updatePassage(collectionId, passageId, params);
// Example response
{
id: 'x1y2z3w4-uuid',
content: 'Updated content of the passage',
// ...more properties if available
}
Parameters:
collectionId
(string): The ID of the collection the passage belongs to.passageId
(string): The ID of the passage to update.params
(UpdatePassage): The update passage parameters, which can include:
content
(string): Updated content of the passage.Returns:
A Passage
object representing the updated passage:
id
(string): The ID of the updated passage.deletePassage
Delete a passage from a collection by its ID.
const collectionId = 'a1b2c3d4-uuid';
const passageId = 'x1y2z3w4-uuid';
await qna.deletePassage(collectionId, passageId);
// No direct response, the passage is deleted from the collection
Parameters:
collectionId
(string): The ID of the collection the passage belongs to.passageId
(string): The ID of the passage to delete.Returns:
A Passage
object representing the deleted passage:
id
(string): The ID of the deleted passage.FAQs
The `@or-sdk/qna` package provides a client for working with the QnA (Question and Answer) system in OneReach.ai a.k.a Lookup. With this client, you can perform operations such as loading documents, creating collections, searching in collections, asking q
The npm package @or-sdk/qna receives a total of 379 weekly downloads. As such, @or-sdk/qna popularity was classified as not popular.
We found that @or-sdk/qna demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 2 open source maintainers collaborating on the project.
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