Mintlify docs (#217)

* add the new docs

* Update to latest comprehensive docs from mintlify2 branch - Add conversations, jobs, triggers guides - Complete tools documentation - Enhanced RAG and agents docs - Add UI screenshots and images - Update contribution guide and quickstart

* added intro gif

* Update introduction.mdx with intro gif

* Add public/videos folder with Intro-Video.gif for proper Next.js/Mintlify serving

* updated gif

* Update introduction.mdx to have a working intro gif

apps/docs/docs/using_rag.mdx

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+# Using RAG in Rowboat
+
+Rowboat provides multiple ways to enhance your agents' context with Retrieval-Augmented Generation (RAG). This guide will help you set up and use each RAG features.
+
+## Quick Start
+
+Text RAG and local file uploads are enabled by default - no configuration needed! Just start using them right away.
+
+## RAG Features
+
+### 1. Text RAG
+✅ Enabled by default:
+
+- Process and reason over text content directly
+- No configuration required
+
+### 2. Local File Uploads
+✅ Enabled by default:
+
+- Upload PDF files directly from your device
+- Files are stored locally
+- No configuration required
+- Files are parsed using OpenAI by default
+- For larger files, we recommend using Gemini models - see section below.
+
+#### 2.1 Using Gemini for File Parsing
+To use Google's Gemini model for parsing uploaded PDFs, set the following variable:
+
+```bash
+# Enable Gemini for file parsing
+export USE_GEMINI_FILE_PARSING=true
+export GOOGLE_API_KEY=your_google_api_key
+```
+
+### 3. URL Scraping
+Rowboat uses Firecrawl for URL scraping. To enable URL scraping, set the following variables:
+
+```bash
+export USE_RAG_SCRAPING=true
+export FIRECRAWL_API_KEY=your_firecrawl_api_key
+```
+
+## Advanced RAG features
+
+### 1. File Uploads Backed by S3
+To enable S3 file uploads, set the following variables:
+
+```bash
+# Enable S3 uploads
+export USE_RAG_S3_UPLOADS=true
+
+# S3 Configuration
+export AWS_ACCESS_KEY_ID=your_access_key
+export AWS_SECRET_ACCESS_KEY=your_secret_key
+export RAG_UPLOADS_S3_BUCKET=your_bucket_name
+export RAG_UPLOADS_S3_REGION=your_region
+```
+
+### 2. Changing Default Parsing Model
+
+By default, uploaded PDF files are parsed using `gpt-4o`. You can customize this by setting the following:
+
+```bash
+# Override the default parsing model
+export FILE_PARSING_MODEL=your-preferred-model
+```
+
+You can also change the model provider like so:
+```bash
+# Optional: Override the parsing provider settings
+export FILE_PARSING_PROVIDER_BASE_URL=your-provider-base-url
+export FILE_PARSING_PROVIDER_API_KEY=your-provider-api-key
+```
+
+### 3. Embedding Model Options
+
+By default, Rowboat uses OpenAI's `text-embedding-3-small` model for generating embeddings. You can customize this by setting the following:
+
+```bash
+# Override the default embedding model
+export EMBEDDING_MODEL=your-preferred-model
+export EMBEDDING_VECTOR_SIZE=1536
+```
+
+**Important NOTE**
+
+The default size for the vectors index is 1536. If you change this value, then you must delete the index and set it up again:
+```bash
+docker-compose --profile delete_qdrant --profile qdrant up --build delete_qdrant qdrant
+```
+followed by:
+```bash
+./start # this will recreate the index
+```
+
+You can also change the model provider like so:
+```bash
+# Optional: Override the embedding provider settings
+export EMBEDDING_PROVIDER_BASE_URL=your-provider-base-url
+export EMBEDDING_PROVIDER_API_KEY=your-provider-api-key
+```
+
+If you don't specify the provider settings, Rowboat will use OpenAI as the default provider.