couchbase-examples · giriraj-singh-couchbase · Sep 15, 2025 · Sep 15, 2025 · Sep 15, 2025 · Sep 15, 2025
diff --git a/autovec-tutorial/README.md b/autovec-tutorial/README.md
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+# Couchbase Capella AI Services Auto-Vectorization with LangChain
+
+This guide is a comprehensive tutorial demonstrating how to use Couchbase Capella's AI Services auto-vectorization feature to automatically convert your data into vector embeddings and perform semantic search using LangChain.
+
+## 📋 Overview
+
+The main tutorial is contained in the Jupyter notebook `autovec_langchain.ipynb`, which walks you through:
+
+1. **Couchbase Capella Setup** - Creating account, cluster, and access controls
+2. **Data Upload & Processing** - Using sample data
+3. **Model Deployment** - Deploying embedding models for vectorization
+4. **Auto-Vectorization Workflow** - Setting up automated embedding generation
+5. **LangChain Integration** - Building semantic search applications with vector similarity
+
+## 🚀 Quick Start
+
+### Prerequisites
+
+- Python 3.8 or higher
+- A Couchbase Capella account
+- Basic understanding of vector databases and embeddings
+
+### Installation Steps
+
+1. **Clone or download this repository**
+   ```bash
+   git clone https://github.com/couchbase-examples/vector-search-cookbook.git
+   cd vector-search-cookbook/autovec-tutorial
+   ```
+
+2. **Install Python dependencies**
+   ```bash
+   pip install jupyter
+   pip install couchbase
+   pip install langchain-couchbase
+   pip install langchain-nvidia-ai-endpoints
+   ```
+
+3. **Start Jupyter Notebook**
+   ```bash
+   jupyter notebook
+   ```
+   or
+   ```bash
+   jupyter lab
+   ```
+
+4. **Open the tutorial notebook**
+   - Navigate to `autovec_langchain.ipynb` in the Jupyter interface
+   - Follow the step-by-step instructions in the notebook
+```
+
+**Note**: This tutorial is designed for educational purposes. For production deployments, ensure proper security configurations and SSL/TLS verification.
diff --git a/autovec-tutorial/autovec_langchain.ipynb b/autovec-tutorial/autovec_langchain.ipynb
diff --git a/autovec-tutorial/frontmatter.md b/autovec-tutorial/frontmatter.md
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+---
+# frontmatter
+path: "/tutorial-couchbase-autovectorization-langchain"
+title: Auto-Vectorization with Couchbase Capella AI Services and LangChain
+short_title: Auto-Vectorization with Couchbase and LangChain
+description:
+  - Learn how to use Couchbase Capella's AI Services auto-vectorization feature to automatically convert your data into vector embeddings.
+  - This tutorial demonstrates how to set up automated embedding generation workflows and perform semantic search using LangChain.
+content_type: tutorial
+filter: sdk
+technology:
+  - vector search
+tags:
+  - LangChain
+sdk_language:
+  - python
+length: 20 Mins
+---
diff --git a/autovec-tutorial/img/Access_control.png b/autovec-tutorial/img/Access_control.png
diff --git a/autovec-tutorial/img/Create_auto_vec.png b/autovec-tutorial/img/Create_auto_vec.png
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diff --git a/autovec-tutorial/img/select_cluster.png b/autovec-tutorial/img/select_cluster.png
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diff --git a/autovec-tutorial/img/vector_index_page.png b/autovec-tutorial/img/vector_index_page.png
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