📦 NEW: Deploy Single Doc to Memory

* 📦 NEW: Single document command

* 📦 NEW: Build single document

* 📦 NEW: Deploy single document

* 👌 IMPROVE: Code

* 👌 IMPROVE: Code

* 📦 NEW: Create build directory if doesn't exists

* 👌 IMPROVE: Code

* 👌 IMPROVE: Code

* 📖 DOC: Deploy a document in memory

* 👌 IMPROVE: Command

* 👌 IMPROVE: Docs

* 👌 IMPROVE: Code

* 👌 IMPROVE: review

*  📦 NEW: package.json

* 👌 IMPROVE: memory files fetch

---------

Co-authored-by: Saqib Ameen <saqib1@ualberta.ca>

Author: msaaddev

apps/baseai.dev/content/docs/deployment/deploy.mdx

@@ -68,3 +68,5 @@ baseai deploy --overwrite # or -o
 When you deploy a project to prod that uses BaseAI, ensure that `LANGBASE_API_KEY` is set in the production environment. This key is required to authenticate with Langbase and access deployed AI agents and memory.
 
 Use appropriate [Org or User API key](https://langbase.com/docs/api-reference/api-keys) to authenticate with Langbase.
+
+---

apps/baseai.dev/content/docs/deployment/document.mdx

@@ -0,0 +1,57 @@
+---
+title: 'Deploy a document to memory'
+description: "Deploy a document to memory on Langbase using the BaseAI CLI."
+tags:
+    - baseai
+    - auth
+    - langbase
+    - deploy
+    - document
+section: 'Deployment'
+published: 2024-09-24
+modified: 2024-09-24
+---
+
+# Deploy a document to memory
+
+Deploy a document to memory on [Langbase](https://langbase.com/) using the BaseAI CLI. Before you deploy a document, make sure you are [authenticated](/docs/deployment/authentication) with the BaseAI CLI.
+
+---
+
+## Deploy a document
+
+Pass the memory name and document name to the `deploy` command using the `--memory` flag or `-m` for short and `--document` flag or `-d` for short.
+
+```bash
+npx baseai@latest deploy -m <memory-name> -d <document-name>
+```
+
+### Document doesn't exist in memory on Langbase?
+
+The BaseAI CLI will add the missing provided document in memory.
+
+### Document exist in memory on Langbase?
+
+The BaseAI CLI will exit with message to run the command again with `--overwrite` flag to overwrite the document in memory.
+
+---
+
+## Overwrite a document in memory
+
+Overwrite the existing document in memory on Langbase using the `overwrite` flag or `-o` for short.
+
+```bash
+npx baseai@latest deploy -m <memory-name> -d <doc-name> -o
+```
+
+---
+
+## Example
+
+Here is an example of the command to deploy a document to memory on Langbase.
+
+```bash
+npx baseai@latest deploy -m chat-with-docs -d langbase.md
+```
+
+---

apps/baseai.dev/content/docs/memory/create.mdx

@@ -23,7 +23,7 @@ Create a new memory using the `memory` command. It will ask you for name and des
 Let's use the name `chat-with-docs` for this example.
 
 ```bash
-baseai memory
+npx baseai@latest memory
 ```
 
 It creates a memory at `baseai/memory/chat-with-docs` in your current directory. Add documents to `baseai/memory/chat-with-docs/documents` for use.

apps/baseai.dev/content/docs/memory/embed-document.mdx

@@ -28,7 +28,7 @@ Please make sure to add `OPENAI_API_KEY` to `.env` file in the root of your proj
 Pass the memory name and document name to the `embed` command using the `--memory` flag or `-m` for short and `--document` flag or `-d` for short.
 
 ```bash
-baseai embed -m chat-with-docs -d document-name
+npx baseai@latest embed -m chat-with-docs -d document-name
 ```
 
 It will generate embeddings and update the memory index. If the document is already embedded, it will update the embeddings for the document.

apps/baseai.dev/content/docs/memory/embed.mdx

@@ -32,7 +32,7 @@ Make sure you have a memory [created](/docs/memory/create) a memory and added do
 Embed all memory documents and create a semantic index for the memory. Pass the memory name to the `embed` command using the `--memory` flag or `-m` for short.
 
 ```bash
-baseai embed -m chat-with-docs
+npx baseai@latest embed -m chat-with-docs
 ```
 
 It will generate embeddings for the documents and create an index for search. Your memory is now ready to be used with a Pipe.

apps/baseai.dev/content/docs/memory/list.mdx

@@ -20,7 +20,7 @@ List all memory in your current project directory.
 Use the `memory list` command to list all memory in your current project directory.
 
 ```bash
-baseai memory --list
+npx baseai@latest memory --list
 ```
 
 It will list all memory in the current project directory.

apps/baseai.dev/content/docs/memory/retrieve.mdx

@@ -37,7 +37,7 @@ The output is from memory created in [quickstart guide](/docs/memory/quickstart)
 
 
 ```bash
-baseai retrieve -m chat-with-docs -q "Default LLM"
+npx baseai@latest retrieve -m chat-with-docs -q "Default LLM"
 ```
 
 ---

apps/baseai.dev/src/data/navigation.ts

@@ -176,8 +176,12 @@ const navigationData: NavigationItem[] = [
 				href: '/docs/deployment/authentication'
 			},
 			{
-				title: 'Deploy',
+				title: 'Deploy All',
 				href: '/docs/deployment/deploy'
+			},
+			{
+				title: 'Deploy Document',
+				href: '/docs/deployment/document'
 			}
 		]
 	},

examples/nodejs/.gitignore

@@ -75,3 +75,7 @@ assets/img/.DS_Store
 .next
 # baseai
 /.baseai/
+# baseai
+**/.baseai/
+# env file
+.env

packages/baseai/package.json

@@ -66,6 +66,7 @@
 		"dotenv": "^16.4.5",
 		"execa": "^9.4.0",
 		"figures": "^6.1.0",
+		"find-up": "^7.0.0",
 		"get-package-json-file": "^2.0.0",
 		"hono": "^4.5.11",
 		"js-tiktoken": "^1.0.14",