couchbase-examples · giriraj-singh-couchbase · Sep 25, 2025 · Sep 26, 2025 · Sep 26, 2025 · Sep 26, 2025
diff --git a/autovec_unstructured/README.md b/autovec_unstructured/README.md
@@ -0,0 +1,43 @@
+# 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 for unstructured data to automatically convert your data into vector embeddings and perform semantic search using LangChain.
+
+## 🚀 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-unstructured
+   ```
+
+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_unstructured.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_unstructured/autovec_unstructured.ipynb b/autovec_unstructured/autovec_unstructured.ipynb
diff --git a/autovec_unstructured/frontmatter.md b/autovec_unstructured/frontmatter.md
@@ -0,0 +1,18 @@
+---
+# 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 unstructured 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_unstructured/img/S3bucketsuccess.png b/autovec_unstructured/img/S3bucketsuccess.png
diff --git a/autovec_unstructured/img/S3credentials.png b/autovec_unstructured/img/S3credentials.png
diff --git a/autovec_unstructured/img/Select_embedding_model.png b/autovec_unstructured/img/Select_embedding_model.png
diff --git a/autovec_unstructured/img/addS3bucket.png b/autovec_unstructured/img/addS3bucket.png
diff --git a/autovec_unstructured/img/configure_data_source.png b/autovec_unstructured/img/configure_data_source.png
diff --git a/autovec_unstructured/img/data_processing.png b/autovec_unstructured/img/data_processing.png
diff --git a/autovec_unstructured/img/deploying_model.png b/autovec_unstructured/img/deploying_model.png
diff --git a/autovec_unstructured/img/download_api_key_details.png b/autovec_unstructured/img/download_api_key_details.png
diff --git a/autovec_unstructured/img/importing_model.png b/autovec_unstructured/img/importing_model.png
diff --git a/autovec_unstructured/img/model_api_key_form.png b/autovec_unstructured/img/model_api_key_form.png
diff --git a/autovec_unstructured/img/model_setup_access.png b/autovec_unstructured/img/model_setup_access.png
diff --git a/autovec_unstructured/img/start_workflow.png b/autovec_unstructured/img/start_workflow.png
diff --git a/autovec_unstructured/img/workflow.png b/autovec_unstructured/img/workflow.png
diff --git a/autovec_unstructured/img/workflow_deployed.png b/autovec_unstructured/img/workflow_deployed.png
diff --git a/autovec_unstructured/img/workflow_summary.png b/autovec_unstructured/img/workflow_summary.png
diff --git a/autovec_unstructured/sample.pdf b/autovec_unstructured/sample.pdf