rename examples for slugs (#159)

docs/mkdocs.yml

@@ -41,9 +41,13 @@ nav:
 - Python full-text search: fts.md
 - Python integrations: integrations.md
 - Python examples:
-  - YouTube Transcript Search using OpenAI: notebooks/youtube_transcript_search.ipynb
+  - YouTube Transcript Search: notebooks/youtube_transcript_search.ipynb
   - Documentation QA Bot using LangChain: notebooks/code_qa_bot.ipynb
   - Multimodal search using CLIP: notebooks/multimodal_search.ipynb
+  - Serverless QA Bot with S3 and Lambda: examples/serverless_lancedb_with_s3_and_lambda.md
+  - Serverless QA Bot with Modal: examples/serverless_qa_bot_with_modal_and_langchain.md
+- Javascript examples:
+  - YouTube Transcript Search: examples/youtube_transcript_bot_with_nodejs.md
 - References:
   - Vector Search: search.md
   - Indexing: ann_indexes.md

docs/src/index.md

@@ -8,6 +8,8 @@ The key features of LanceDB include:
 
 * Store, query and filter vectors, metadata and multi-modal data (text, images, videos, point clouds, and more).
 
+* Support for vector similarity search, full-text search and SQL.
+
 * Native Python and Javascript/Typescript support.
 
 * Zero-copy, automatic versioning, manage versions of your data without needing extra infrastructure.
@@ -54,9 +56,11 @@ LanceDB's core is written in Rust 🦀 and is built using <a href="https://githu
 - [YouTube Transcript Search](notebooks/youtube_transcript_search.ipynb)
 - [Documentation QA Bot using LangChain](notebooks/code_qa_bot.ipynb)
 - [Multimodal search using CLIP](notebooks/multimodal_search.ipynb)
+- [Serverless QA Bot with S3 and Lambda](examples/serverless_lancedb_with_s3_and_lambda.md)
+- [Serverless QA Bot with Modal](examples/serverless_qa_bot_with_modal_and_langchain.md)
 
 ## Complete Demos (JavaScript)
-- [YouTube Transcript Search](examples/nodejs.md)
+- [YouTube Transcript Search](examples/youtube_transcript_bot_with_nodejs.md)
 
 ## Documentation Quick Links
 * [`Basic Operations`](basic.md) - basic functionality of LanceDB.

docs/src/notebooks/youtube_transcript_search.ipynb

@@ -1,11 +1,12 @@
 {
  "cells": [
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "42bf01fb",
    "metadata": {},
    "source": [
-    "# We're going to build question and answer bot\n",
+    "# Youtube Transcript Search QA Bot\n",
     "\n",
     "This Q&A bot will allow you to search through youtube transcripts using natural language! By going through this notebook, we'll introduce how you can use LanceDB to store and manage your data easily."
    ]
@@ -35,6 +36,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "22e570f4",
    "metadata": {},
@@ -87,6 +89,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "5ac2b6a3",
    "metadata": {},
@@ -181,6 +184,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "3044e0b0",
    "metadata": {},
@@ -209,6 +213,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "db586267",
    "metadata": {},
@@ -229,6 +234,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "2106b5bb",
    "metadata": {},
@@ -338,6 +344,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "53e4bff1",
    "metadata": {},
@@ -371,6 +378,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "8ef34fca",
    "metadata": {},
@@ -459,6 +467,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "23afc2f9",
    "metadata": {},
@@ -541,6 +550,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "28705959",
    "metadata": {},
@@ -571,6 +581,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "559a095b",
    "metadata": {},