docs: NL Web integration

Signed-off-by: Anush008 <anushshetty90@gmail.com>

qdrant-landing/content/documentation/frameworks/nlweb.md

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+---
+title: Microsoft NLWeb
+---
+
+# NLWeb
+
+Microsoft's [NLWeb](https://github.com/microsoft/NLWeb) is a proposed framework that enables natural language interfaces for websites, using Schema.org, formats like RSS and the emerging [MCP protocol](https://github.com/microsoft/NLWeb/blob/main/docs/RestAPI.md).
+
+Qdrant is supported as a vector store backend within NLWeb for embedding storage and context retrieval.
+
+## Usage
+
+NLWeb includes Qdrant integration by default. You can install and configure it to use Qdrant as the retrieval engine.
+
+### Installation
+
+Clone the repo and set up your environment:
+
+```bash
+git clone https://github.com/microsoft/NLWeb
+cd NLWeb
+python -m venv .venv
+source venv/bin/activate  # or `venv\Scripts\activate` on Windows
+cd code
+pip install -r requirements.txt
+```
+
+### Configuring Qdrant
+
+To use **Qdrant**, update your configuration.
+
+#### 1. Copy and edit the environment variables file
+
+```bash
+cp .env.template .env
+```
+
+Ensure the following values are set in your `.env` file:
+
+```text
+QDRANT_URL="https://xyz-example.cloud-region.cloud-provider.cloud.qdrant.io:6333"
+QDRANT_API_KEY="<your-api-key-here>"
+```
+
+#### 2. Update config files in `code/config`
+
+* **`config_retrieval.yaml`**
+
+```yaml
+retrieval_engine: qdrant_url
+```
+
+Alternatively you can use an in-memory Qdrant instance for experimentation.
+
+```yaml
+retrieval_engine: qdrant_local
+
+endpoints:
+  qdrant_local:
+    # Use local file-based storage with a specific path
+    database_path: "../data/db"
+    # Set the collection name to use
+    index_name: nlweb_collection
+    # Specify the database type
+    db_type: qdrant
+```
+
+### Loading Data
+
+Once configured, load your content using RSS feeds or other supported formats.
+
+From the `code` directory:
+
+```bash
+python -m tools.db_load https://feeds.libsyn.com/121695/rss Behind-the-Tech
+python -m tools.db_load https://feeds.megaphone.fm/recodedecode Decoder
+```
+
+This will ingest the content into your local Qdrant instance.
+
+### Running the Server
+
+To start your NLWeb server with Qdrant:
+
+```bash
+python -m server.main
+```
+
+You can now query your content via natural language using either the web UI at <http://localhost:8000/> or directly through the MCP-compatible [REST API](https://github.com/microsoft/NLWeb/blob/main/docs/RestAPI.md).
+
+## Further Reading
+
+* [Source](https://github.com/microsoft/NLWeb)
+* [Life of a Chat Query](https://github.com/microsoft/NLWeb/tree/main/docs/LifeOfAChatQuery.md)
+* [Modifying behaviour by changing prompts](https://github.com/microsoft/NLWeb/tree/main/docs/Prompts.md)
+* [Modifying control flow](https://github.com/microsoft/NLWeb/tree/main/docs/ControlFlow.md)
+* [Modifying the user interface](https://github.com/microsoft/NLWeb/tree/main/docs/UserInterface.md)