From aa269199ad9eec5b2565a0058761746cf5013402 Mon Sep 17 00:00:00 2001 From: Rithik Kumar <46047011+rithikJha@users.noreply.github.com> Date: Tue, 29 Oct 2024 22:55:27 +0530 Subject: [PATCH] docs: fix archived examples links (#1751) --- docs/src/examples/python_examples/chatbot.md | 4 ++-- .../examples/python_examples/multimodal.md | 2 +- docs/src/examples/python_examples/rag.md | 8 ++++---- .../python_examples/recommendersystem.md | 8 ++++---- .../examples/python_examples/vector_search.md | 20 +++++++++---------- docs/src/integrations/phidata.md | 2 +- 6 files changed, 22 insertions(+), 22 deletions(-) diff --git a/docs/src/examples/python_examples/chatbot.md b/docs/src/examples/python_examples/chatbot.md index 6d1e59cd..52d4e404 100644 --- a/docs/src/examples/python_examples/chatbot.md +++ b/docs/src/examples/python_examples/chatbot.md @@ -36,6 +36,6 @@ [aware_colab]: https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/tutorials/chatbot_using_Llama2_&_lanceDB/main.ipynb [aware_ghost]: https://blog.lancedb.com/context-aware-chatbot-using-llama-2-lancedb-as-vector-database-4d771d95c755 -[csv_github]: https://github.com/lancedb/vectordb-recipes/blob/main/tutorials/Chat_with_csv_file -[csv_colab]: https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/tutorials/Chat_with_csv_file/main.ipynb +[csv_github]: https://github.com/lancedb/vectordb-recipes/tree/main/examples/archived_examples/Chat_with_csv_file +[csv_colab]: https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/examples/archived_examples/Chat_with_csv_file/main.ipynb [csv_ghost]: https://blog.lancedb.com/p/d8c71df4-e55f-479a-819e-cde13354a6a3/ diff --git a/docs/src/examples/python_examples/multimodal.md b/docs/src/examples/python_examples/multimodal.md index 08c561c6..69b7b778 100644 --- a/docs/src/examples/python_examples/multimodal.md +++ b/docs/src/examples/python_examples/multimodal.md @@ -12,7 +12,7 @@ LanceDB supports multimodal search by indexing and querying vector representatio |:----------------|:-----------------|:-----------| | **Multimodal CLIP: DiffusionDB 🌐πŸ’₯** | Multi-Modal Search with **CLIP** and **LanceDB** Using **DiffusionDB** Data for Combined Text and Image Understanding ! πŸ”“ | [![GitHub](../../assets/github.svg)][Clip_diffusionDB_github]
[![Open In Collab](../../assets/colab.svg)][Clip_diffusionDB_colab]
[![Python](../../assets/python.svg)][Clip_diffusionDB_python]
[![Ghost](../../assets/ghost.svg)][Clip_diffusionDB_ghost] | | **Multimodal CLIP: Youtube Videos πŸ“ΉπŸ‘€** | Search **Youtube videos** using Multimodal CLIP, finding relevant content with ease and accuracy! 🎯 | [![Github](../../assets/github.svg)][Clip_youtube_github]
[![Open In Collab](../../assets/colab.svg)][Clip_youtube_colab]
[![Python](../../assets/python.svg)][Clip_youtube_python]
[![Ghost](../../assets/ghost.svg)][Clip_youtube_python] | -| **Multimodal Image + Text Search πŸ“ΈπŸ”** | Find **relevant documents** and **images** with a single query using **LanceDB's** multimodal search capabilities, to seamlessly integrate text and visuals ! πŸŒ‰ | [![GitHub](../../assets/github.svg)](https://github.com/lancedb/vectordb-recipes/blob/main/examples/multimodal_search)
[![Open In Collab](../../assets/colab.svg)](https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/examples/multimodal_search/main.ipynb)
[![Python](../../assets/python.svg)](https://github.com/lancedb/vectordb-recipes/blob/main/examples/multimodal_search/main.py)
[![Ghost](../../assets/ghost.svg)](https://blog.lancedb.com/multi-modal-ai-made-easy-with-lancedb-clip-5aaf8801c939/) | +| **Multimodal Image + Text Search πŸ“ΈπŸ”** | Find **relevant documents** and **images** with a single query using **LanceDB's** multimodal search capabilities, to seamlessly integrate text and visuals ! πŸŒ‰ | [![GitHub](../../assets/github.svg)](https://github.com/lancedb/vectordb-recipes/tree/main/examples/archived_examples/multimodal_search)
[![Open In Collab](../../assets/colab.svg)](https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/examples/archived_examples/multimodal_search/main.ipynb)
[![Python](../../assets/python.svg)](https://github.com/lancedb/vectordb-recipes/blob/main/examples/multimodal_search/main.py)
[![Ghost](../../assets/ghost.svg)](https://blog.lancedb.com/multi-modal-ai-made-easy-with-lancedb-clip-5aaf8801c939/) | | **Cambrian-1: Vision-Centric Image Exploration πŸ”πŸ‘€** | Learn how **Cambrian-1** works, using an example of **Vision-Centric** exploration on images found through vector search ! Work on **Flickr-8k** dataset πŸ”Ž | [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=for-the-badge&logo=kaggle&logoColor=white)](https://www.kaggle.com/code/prasantdixit/cambrian-1-vision-centric-exploration-of-images/)
[![Ghost](../../assets/ghost.svg)](https://blog.lancedb.com/cambrian-1-vision-centric-exploration/) | diff --git a/docs/src/examples/python_examples/rag.md b/docs/src/examples/python_examples/rag.md index a6db3a68..bed3a1ab 100644 --- a/docs/src/examples/python_examples/rag.md +++ b/docs/src/examples/python_examples/rag.md @@ -70,12 +70,12 @@ Build RAG (Retrieval-Augmented Generation) with LanceDB, a powerful solution fo [flare_colab]: https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/examples/better-rag-FLAIR/main.ipynb [flare_ghost]: https://blog.lancedb.com/better-rag-with-active-retrieval-augmented-generation-flare-3b66646e2a9f/ -[query_github]: https://github.com/lancedb/vectordb-recipes/blob/main/examples/QueryExpansion&Reranker -[query_colab]: https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/examples/QueryExpansion&Reranker/main.ipynb +[query_github]: https://github.com/lancedb/vectordb-recipes/tree/main/examples/archived_examples/QueryExpansion%26Reranker +[query_colab]: https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/examples/archived_examples/QueryExpansion&Reranker/main.ipynb -[fusion_github]: https://github.com/lancedb/vectordb-recipes/blob/main/examples/RAG_Fusion -[fusion_colab]: https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/examples/RAG_Fusion/main.ipynb +[fusion_github]: https://github.com/lancedb/vectordb-recipes/tree/main/examples/archived_examples/RAG_Fusion +[fusion_colab]: https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/examples/archived_examples/RAG_Fusion/main.ipynb [agentic_github]: https://github.com/lancedb/vectordb-recipes/blob/main/tutorials/Agentic_RAG [agentic_colab]: https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/tutorials/Agentic_RAG/main.ipynb diff --git a/docs/src/examples/python_examples/recommendersystem.md b/docs/src/examples/python_examples/recommendersystem.md index 12ce7780..a7d91143 100644 --- a/docs/src/examples/python_examples/recommendersystem.md +++ b/docs/src/examples/python_examples/recommendersystem.md @@ -19,8 +19,8 @@ Deliver personalized experiences with Recommender Systems. 🎁 [movie_python]: https://github.com/lancedb/vectordb-recipes/blob/main/examples/movie-recommender/main.py -[genre_github]: https://github.com/lancedb/vectordb-recipes/blob/main/examples/movie-recommendation-with-genres -[genre_colab]: https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/examples/movie-recommendation-with-genres/movie_recommendation_with_doc2vec_and_lancedb.ipynb +[genre_github]: https://github.com/lancedb/vectordb-recipes/tree/main/examples/archived_examples/movie-recommendation-with-genres +[genre_colab]: https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/examples/archived_examples/movie-recommendation-with-genres/movie_recommendation_with_doc2vec_and_lancedb.ipynb [genre_ghost]: https://blog.lancedb.com/movie-recommendation-system-using-lancedb-and-doc2vec/ [product_github]: https://github.com/lancedb/vectordb-recipes/blob/main/examples/product-recommender @@ -33,5 +33,5 @@ Deliver personalized experiences with Recommender Systems. 🎁 [arxiv_python]: https://github.com/lancedb/vectordb-recipes/blob/main/examples/arxiv-recommender/main.py -[food_github]: https://github.com/lancedb/vectordb-recipes/blob/main/examples/Food_recommendation -[food_colab]: https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/examples/Food_recommendation/main.ipynb +[food_github]: https://github.com/lancedb/vectordb-recipes/tree/main/examples/archived_examples/Food_recommendation +[food_colab]: https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/examples/archived_examples/Food_recommendation/main.ipynb diff --git a/docs/src/examples/python_examples/vector_search.md b/docs/src/examples/python_examples/vector_search.md index 8561f716..1861e6dc 100644 --- a/docs/src/examples/python_examples/vector_search.md +++ b/docs/src/examples/python_examples/vector_search.md @@ -37,16 +37,16 @@ LanceDB implements vector search algorithms for efficient document retrieval and [NER_colab]: https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/tutorials/NER-powered-Semantic-Search/NER_powered_Semantic_Search_with_LanceDB.ipynb [NER_ghost]: https://blog.lancedb.com/ner-powered-semantic-search-using-lancedb-51051dc3e493 -[audio_search_github]: https://github.com/lancedb/vectordb-recipes/blob/main/examples/audio_search -[audio_search_colab]: https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/examples/audio_search/main.ipynb -[audio_search_python]: https://github.com/lancedb/vectordb-recipes/blob/main/examples/audio_search/main.py +[audio_search_github]: https://github.com/lancedb/vectordb-recipes/tree/main/examples/archived_examples/audio_search +[audio_search_colab]: https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/examples/archived_examples/audio_search/main.ipynb +[audio_search_python]: https://github.com/lancedb/vectordb-recipes/blob/main/examples/archived_examples/audio_search/main.py -[mls_github]: https://github.com/lancedb/vectordb-recipes/blob/main/examples/multi-lingual-wiki-qa -[mls_colab]: https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/examples/multi-lingual-wiki-qa/main.ipynb -[mls_python]: https://github.com/lancedb/vectordb-recipes/blob/main/examples/multi-lingual-wiki-qa/main.py +[mls_github]: https://github.com/lancedb/vectordb-recipes/tree/main/examples/archived_examples/multi-lingual-wiki-qa +[mls_colab]: https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/examples/archived_examples/multi-lingual-wiki-qa/main.ipynb +[mls_python]: https://github.com/lancedb/vectordb-recipes/blob/main/examples/archived_examples/multi-lingual-wiki-qa/main.py -[fr_github]: https://github.com/lancedb/vectordb-recipes/blob/main/examples/facial_recognition -[fr_colab]: https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/examples/facial_recognition/main.ipynb +[fr_github]: https://github.com/lancedb/vectordb-recipes/tree/main/examples/archived_examples/facial_recognition +[fr_colab]: https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/examples/archived_examples/facial_recognition/main.ipynb [sentiment_analysis_github]: https://github.com/lancedb/vectordb-recipes/blob/main/examples/Sentiment-Analysis-Analyse-Hotel-Reviews [sentiment_analysis_colab]: https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/examples/Sentiment-Analysis-Analyse-Hotel-Reviews/Sentiment_Analysis_using_LanceDB.ipynb @@ -70,8 +70,8 @@ LanceDB implements vector search algorithms for efficient document retrieval and [openvino_colab]: https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/examples/Accelerate-Vector-Search-Applications-Using-OpenVINO/clip_text_image_search.ipynb [openvino_ghost]: https://blog.lancedb.com/accelerate-vector-search-applications-using-openvino-lancedb/ -[zsic_github]: https://github.com/lancedb/vectordb-recipes/blob/main/examples/zero-shot-image-classification -[zsic_colab]: https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/examples/zero-shot-image-classification/main.ipynb +[zsic_github]: https://github.com/lancedb/vectordb-recipes/tree/main/examples/archived_examples/zero-shot-image-classification +[zsic_colab]: https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/examples/archived_examples/zero-shot-image-classification/main.ipynb [zsic_ghost]: https://blog.lancedb.com/zero-shot-image-classification-with-vector-search/ diff --git a/docs/src/integrations/phidata.md b/docs/src/integrations/phidata.md index ad5ecf47..fbabcf70 100644 --- a/docs/src/integrations/phidata.md +++ b/docs/src/integrations/phidata.md @@ -45,7 +45,7 @@ Let's see how using LanceDB inside phidata helps in making LLM more useful: **Install the following packages in the virtual environment** ```python -pip install lancedb phidata youtube_transcript_api openai ollama pandas numpy +pip install lancedb phidata youtube_transcript_api openai ollama numpy pandas ``` **Create python files and import necessary libraries**