diff --git a/docs-site/content/.vuepress/config.js b/docs-site/content/.vuepress/config.js index a895010f..6d08bdcd 100644 --- a/docs-site/content/.vuepress/config.js +++ b/docs-site/content/.vuepress/config.js @@ -149,6 +149,10 @@ let config = { ['/0.19.0/guide/features/typo-tolerance', 'Typo Tolerance'], ['/0.19.0/guide/features/faceting', 'Faceting'], ['/0.19.0/guide/features/filtering', 'Filtering'], + ['/0.19.0/guide/features/federated-search', 'Federated Search'], + ['/0.19.0/guide/features/multi-tenant-indices', 'Multi-tenant Indices'], + ['/0.19.0/guide/features/synonyms', 'Synonyms'], + ['/0.19.0/guide/features/clustering', 'Raft Based Clustering'], ], }, ], diff --git a/docs-site/content/.vuepress/public/images/bhp-federated.png b/docs-site/content/.vuepress/public/images/bhp-federated.png new file mode 100644 index 00000000..99c5ba14 Binary files /dev/null and b/docs-site/content/.vuepress/public/images/bhp-federated.png differ diff --git a/docs-site/content/.vuepress/public/images/typesense-filter.png b/docs-site/content/.vuepress/public/images/typesense-filter.png index 1249e590..15da969d 100644 Binary files a/docs-site/content/.vuepress/public/images/typesense-filter.png and b/docs-site/content/.vuepress/public/images/typesense-filter.png differ diff --git a/docs-site/content/0.19.0/guide/features/federated.md b/docs-site/content/0.19.0/guide/features/federated.md new file mode 100644 index 00000000..f34b24b6 --- /dev/null +++ b/docs-site/content/0.19.0/guide/features/federated.md @@ -0,0 +1,186 @@ +# Federated Search + +Federated or multi search is a way to search for documents in multiple collections as part of a single search query. You can also use multi-search to send multiple search queries to the same collections, essentially giving you a way to batch search queries in a single HTTP request. Federated search can help reduce network latencies. It can also be used to present similar content from other collections, that might encourage users to browse more content across your application. For example, your application might have different collections for `Nike` and `Adidas`. Now, if a user is looking for a shoe from a specific branch and they might not know what other brands are available, the search query can perform a search on both the collections and return relevant results from both the collections. + +For example, if you search for `Canon` on https://www.bhphotovideo.com/, you would see that there are multiple results shown including products, suggestions and help resources: + +![bhp federated example](~@images/bhp-federated.png) + +Typesense supports searching across multiple collections in a single HTTP request. Let's create a search query for shoes: + + + + + + + + + +Sample response: + +```json +{ + "results": [ + { + "facet_counts": [], + "found": 1, + "hits": [ + { + "document": { + "name": "Blue shoe", + "brand": "Adidas", + "id": "126", + "price": 50 + }, + "highlights": [ + { + "field": "name", + "matched_tokens": [ + "shoe" + ], + "snippet": "Blue shoe" + } + ], + "text_match": 130816 + } + ], + "out_of": 10, + "page": 1, + "request_params": { + "per_page": 10, + "q": "shoe" + }, + "search_time_ms": 1 + }, + { + "facet_counts": [], + "found": 1, + "hits": [ + { + "document": { + "name": "Nike shoes", + "brand": "Nike", + "id": "391", + "price": 60 + }, + "highlights": [ + { + "field": "name", + "matched_tokens": [ + "Nike" + ], + "snippet": "Nikeshoes" + } + ], + "text_match": 144112 + } + ], + "out_of": 5, + "page": 1, + "request_params": { + "per_page": 10, + "q": "Nike" + }, + "search_time_ms": 1 + }, + ] +} +``` + +In the above example, the user is searching for a `Nike` shoe, but the `multiSerch` query returns results from the `Adidas` collection as well. You can control the number of maximum search requests using the `limit_multi_searches` parameter. By default, there is no limit. You can find more details on the argument [here](../../0.19.0/api/documents.html#federated-multi-search). diff --git a/docs-site/content/0.19.0/guide/features/multi-tenant-indices.md b/docs-site/content/0.19.0/guide/features/multi-tenant-indices.md new file mode 100644 index 00000000..f71f4fed --- /dev/null +++ b/docs-site/content/0.19.0/guide/features/multi-tenant-indices.md @@ -0,0 +1,170 @@ +# Scoped API Keys + +Typesense is designed with security and fine-grained access control in mind. To perform any action with Typesense, you need API keys. Typesense also allows access control on API keys. You can define capabilities as to what a user can or cannot do. You can also restrict access to a specific document or collection. In the case of a multi-tenant environment, you can scope API keys to a particular subset. This is helpful when you have indexed data from multiple tenants in your Typesense server and want to restrict users to only access their subset of data. + +Typesense allows you to create API keys that have pre-defined filters embedded in them. So, whenever you run a search query with these API keys, those filters are automatically applied and cannot be overridden. You can then provide those search API keys to users and they would only be able to access the data that is allowed by the set filter. To create scoped API keys, you just need a parent key. + +Let's take example of a [company collection](../../api/collections.html#create-a-collection), that has the following documents: + +```shell +{"company_id":124,"company_name":"Stark Industries","country":"USA","id":"0","num_employees":3355} +{"company_id":125,"company_name":"Wayne Enterprises","country":"USA","id":"1","num_employees":4538} +{"company_id":126,"company_name":"Daily Planet","country":"USA","id":"2","num_employees":2232} +{"company_id":127,"company_name":"New Stark Industries","country":"USA","id":"3","num_employees":7945} +``` + +Now, let's create a scoped API key that will restrict access to documents that have the company_id value set to 124. + + + + + + + + + + +Sample response: + +```json +"RDhxa2VKTnBQVkxaVlFIOS9JWDZ2bDdtMU5HL3laa0pab2pTeEUzbFBhZz1STjIzeyJmaWx0ZXJfYnkiOiJjb21wYW55X2lkOjEyNCIsImV4cGlyZXNfYXQiOjE2MTE1OTA0NjV9" +``` + +The `expires_at` parameter sets the expiration date for the API key and must be less that the expiration of parent API key. Let's perform a search using the scoped API key: + + + + + + + + + + +Response: + +```json +{ + "facet_counts": [], + "found": 1, + "hits": [ + { + "document": { + "company_id": 124, + "company_name": "Stark Industries", + "country": "USA", + "id": "0", + "num_employees": 3355 + }, + "highlights": [ + { + "field": "company_name", + "matched_tokens": [ + "Stark" + ], + "snippet": "Stark Industries" + } + ], + "text_match": 130816 + } + ], + "out_of": 4, + "page": 1, + "request_params": { + "collection_name": "companies", + "per_page": 10, + "q": "stark" + }, + "search_time_ms": 0 +} +``` + +As you see in the response, the document with `company_id` set to 124 is shown in the output. There is another document that has the `company_name` as "New Stark Industries", but it won't be shown in the result. + +You can find more details about scoped API keys [here](../../api/api-keys.html#generate-scoped-search-key). diff --git a/docs-site/content/0.19.0/guide/features/raft.md b/docs-site/content/0.19.0/guide/features/raft.md new file mode 100644 index 00000000..89d83ea6 --- /dev/null +++ b/docs-site/content/0.19.0/guide/features/raft.md @@ -0,0 +1,5 @@ +# Raft Based Clustering + +High availability is essential for production environments. Typesense uses the [Raft Consensus Algorithm](https://raft.github.io/) to create a highly available cluster with more than one Typesense servers. With Raft, you need to create a cluster of 3 nodes to tolerate single node failures. If you wish to handle 2-node failures, then you need a minimum of 5 nodes in the cluster. Note that adding more nodes will also increase write latencies. + +More details on cluster operations can be found [here](../../api/cluster-operations.html). diff --git a/docs-site/content/0.19.0/guide/features/sorting.md b/docs-site/content/0.19.0/guide/features/sorting.md new file mode 100644 index 00000000..80a8a6b7 --- /dev/null +++ b/docs-site/content/0.19.0/guide/features/sorting.md @@ -0,0 +1,94 @@ +# Sorting + +Sorting is the ordering of search results either in ascending or descending order based on one or more parameters.. + +Typesense has in-built support for sorting. While creating a collection, you must define a `default_sorting_field`. Users can sort the results by defining the `sort_by` parameter in the search query. If `sort_by` field is not present, then the default field defined earlier would be used to sort results. For example, while searching for a book in a [books](../../api/#creating-a-books-collection) collection, the search query can be defined as: + + + + + + + + + +Sample response: + +```json +{ + "facet_counts": [], + "found": 62, + "hits": [ + { + "highlights": [ + { + "field": "title", + "snippet": "Harry Potter and the Philosopher's Stone" + } + ], + "document": { + "authors": [ + "J.K. Rowling", "Mary GrandPré" + ], + "authors_facet": [ + "J.K. Rowling", "Mary GrandPré" + ], + "average_rating": 4.44, + "id": "2", + "image_url": "https://images.gr-assets.com/books/1474154022m/3.jpg", + "publication_year": 1997, + "publication_year_facet": "1997", + "ratings_count": 4602479, + "title": "Harry Potter and the Philosopher's Stone" + } + }, + ... + ] +} +``` + +Here the documents would be sorted by the `ratings_count` field in descending order. You can specify up to 3 fields for sorting. More details on using `sort_by` argument can be found [here](../../api/documents.html#arguments). diff --git a/docs-site/content/0.19.0/guide/features/synonyms.md b/docs-site/content/0.19.0/guide/features/synonyms.md new file mode 100644 index 00000000..a8d90640 --- /dev/null +++ b/docs-site/content/0.19.0/guide/features/synonyms.md @@ -0,0 +1,69 @@ +# Synonyms + +Synonyms allow you to define equivalent search terms. For example, blazers and coats could be considered synonyms. Once these are defined as synonyms in Typesense, a search query for blazer would bring up results with coats as well. + +Typesense has two types of synonyms, one-way and multi-way. With one-way synonyms, you can define synonyms for one root word. In multi-way synonyms, you can define a set of words as synonyms. Let's define a one-way synonym for blazer: + + + + + + + + + +Sample response: + +```json +{ + "id":"coat-synonyms", + "root":"blazer", + "synonyms": ["coat", "jacket"] +} +``` + +In the above example, any query for blazer would bring up results for coat and jacket as well. For [multi-way synonym](../../api/synonyms.html#multi-way-synonym), you don't need to define the root word. You can find more details on synonyms [here](../../api/synonyms.html).