remove collections

docs.json

@@ -89,7 +89,6 @@
               "modus/app-manifest",
               "modus/data-fetching",
               "modus/model-invoking",
-              "modus/search",
               "modus/api-generation",
               "modus/authentication",
               "modus/error-handling",
@@ -107,7 +106,6 @@
                 "group": "AssemblyScript SDK",
                 "pages": [
                   "modus/sdk/assemblyscript/overview",
-                  "modus/sdk/assemblyscript/collections",
                   "modus/sdk/assemblyscript/console",
                   "modus/sdk/assemblyscript/dgraph",
                   "modus/sdk/assemblyscript/graphql",
@@ -123,7 +121,6 @@
                 "group": "Go SDK",
                 "pages": [
                   "modus/sdk/go/overview",
-                  "modus/sdk/go/collections",
                   "modus/sdk/go/console",
                   "modus/sdk/go/dgraph",
                   "modus/sdk/go/graphql",
@@ -503,10 +500,6 @@
       "destination": "/introduction",
       "permanent": true
     },
-    {
-      "source": "/modus/sdk/collections",
-      "destination": "/modus/sdk/assemblyscript/collections"
-    },
     {
       "source": "/modus/sdk/console",
       "destination": "/modus/sdk/assemblyscript/console"

getting-started-with-hyper-commerce.mdx

@@ -120,10 +120,6 @@ In the Hypermode console, you’ll see several key components of your project:
 - **[Functions](/modus/overview):** These are serverless functions written in
   AssemblyScript (a TypeScript-like language) that are automatically exposed as
   GraphQL APIs. Once deployed, you can query these functions within your app.
-- **[Collections](/modus/sdk/assemblyscript/collections):** Hypermode offers
-  built-in key-value storage, known as collections, with support for vector
-  embeddings. This allows you to store and retrieve data efficiently, without
-  requiring a database for basic use cases.
 - **[Models](/modus/sdk/assemblyscript/models):** This section represents the AI
   models defined for your project. These models handle tasks like embedding text
   into vectors for search. Hypermode provides open source shared and dedicated

modus/app-manifest.mdx

@@ -20,9 +20,6 @@ resources for your functions at runtime. You define the manifest in the
   <Card title="Models" icon="cube" href="#models">
     Define inference services for use in your functions
   </Card>
-  <Card title="Collections" icon="table" href="#collections">
-    Define sets of text data to enable natural language search
-  </Card>
 </CardGroup>
 
 ### Base manifest
@@ -516,46 +513,3 @@ dedicated instance of the model. Your project's functions securely access the
 hosted model, with no further configuration required.
 
 </Tip>
-
-## Collections
-
-Collections simplify the usage of vector embeddings to build natural language
-search features. The `collections` object allows you to define indexed data
-types that are automatically embedded and searchable based on the search method
-you define.
-
-Each collection requires a unique name, specified as a key, containing only
-alphanumeric characters and hyphens.
-
-For more detail on implementing Collections, see [Search](/modus/search).
-
-```json modus.json
-{
-  "collections": {
-    "myProducts": {
-      "searchMethods": {
-        "searchMethod": {
-          "embedder": "myEmbedder",
-          "index": {
-            "type": "sequential"
-          }
-        }
-      }
-    }
-  }
-}
-```
-
-<ResponseField name="searchMethods" type="object" required>
-  Search methods define a pair of an embedder and index to make available for
-  searching the data in your collection.
-</ResponseField>
-
-<ResponseField name="embedder" type="string" required>
-  The function name to embed text added to the collection.
-</ResponseField>
-
-<ResponseField name="index" type="string">
-  If provided, describes the index mechanism used by the search method. `type`:
-  specifies the type of the index. For example, `sequential` (default).
-</ResponseField>

modus/model-invoking.mdx

@@ -256,5 +256,4 @@ export function classifyText(text: string, threshold: f32): string {
 
 Modus supports invoking embedding models for text, images, and other data types.
 You use the outputs of these models for implementing search, recommendation, and
-similarity functions in your app. Refer to [Search](/modus/search) for more
-information on how to use embeddings in your app.
+similarity functions in your app.

modus/overview.mdx

@@ -52,6 +52,5 @@ A few of the core Modus features include:
 | [Multi-Language](/modus/project-structure)  | Write functions in Go and AssemblyScript, with additional language support in development    |
 | [Auto-Generated API](/modus/api-generation) | A secure API is automatically generated from your function signatures                        |
 | [Model Integration](/modus/model-invoking)  | Connect and invoke AI models from different providers, without learning a new SDK            |
-| [Search](/modus/search)                     | Add natural language search and recommendations with integrated vector embeddings            |
 | [Authentication](/modus/authentication)     | Secure your API endpoints with minimal configuration                                         |
 | **WebAssembly Runtime**                     | Small and portable execution engine for deployment across server, edge, and desktop computes |

modus/project-structure.mdx

@@ -46,9 +46,9 @@ configuration separated from your source code.
 
 The `modus.json` [app manifest](/modus/app-manifest) is the central
 configuration file for your Modus app. It defines the endpoints, connections,
-models, and collections that your code has available to it during runtime.
-Because Modus is a secure-by-default framework, only the resources defined in
-this file are accessible to your app.
+and models that your code has available to it during runtime. Because Modus is a
+secure-by-default framework, only the resources defined in this file are
+accessible to your app.
 
 ## Initializing your app
 

modus/run-locally.mdx

@@ -98,11 +98,3 @@ hyp login
 
 After logging in, your app automatically connects to Hypermode's
 [Model Router](/model-router) when running locally.
-
-## Working with Collections
-
-Collections requires a PostgreSQL instance for local development. While
-Hypermode manages this database in production, you'll need to set up PostgreSQL
-locally when developing outside the Hypermode platform. For detailed setup
-instructions, see
-[Develop locally with Collections](/modus/search#develop-locally-with-collections).