vector-search-azure-cosmos-db-postgresql
This sample shows how to build vector similarity search on Azure Cosmos DB for PostgreSQL using the pgvector extension and the multi-modal embeddings APIs of Azure AI Vision. (by sfoteini)
langchain-embeddings
This repository demonstrates the construction of a state-of-the-art multimodal search engine, leveraging Amazon Titan Embeddings, Amazon Bedrock, and LangChain. (by build-on-aws)
vector-search-azure-cosmos-db-postgresql | langchain-embeddings | |
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4 | 5 | |
10 | 34 | |
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5.8 | 7.3 | |
about 1 year ago | 3 months ago | |
Jupyter Notebook | Python | |
MIT License | MIT No Attribution |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
vector-search-azure-cosmos-db-postgresql
Posts with mentions or reviews of vector-search-azure-cosmos-db-postgresql.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-02-07.
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Use HNSW index on Azure Cosmos DB for PostgreSQL for similarity search
In the Jupyter Notebook provided on my GitHub repository, you'll explore text-to-image and image-to-image search scenarios. You will use the same text prompts and reference images as in the Exact Nearest Neighbors search example, allowing for a comparison of the accuracy of the results.
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Use pgvector for searching images on Azure Cosmos DB for PostgreSQL
The code for image similarity search with the pgvector extension can be found at vector_search_samples/image_search.ipynb.
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Store embeddings in Azure Cosmos DB for PostgreSQL with pgvector
The code for uploading images to an Azure Blob Storage container can be found at data_upload/upload_images_to_blob.py.
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Generate embeddings with Azure AI Vision multi-modal embeddings API
In this article, you will find instructions on how to generate embeddings for a collection of images using Azure AI Vision. The complete working project can be found in the GitHub repository. If you want to follow along, you can fork the repository and clone it to have it locally available.
langchain-embeddings
Posts with mentions or reviews of langchain-embeddings.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Desplegando una Aplicación de Embeddings Serverless con AWS CDK, Lambda y Amazon Aurora PostgreSQL
To generate embeddings for image/pdf with pgvector and Amazon Aurora.
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Construyendo un Motor de Búsqueda Multimodal con Amazon Titan Embeddings, Aurora Serveless PostgreSQL y LangChain
Búsqueda semántica con LangChain, Amazon Titan Embeddings y FAISS:
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Deploying Serverless Embedding App with AWS CDK, Lambda and Amazon Aurora PostgreSQL
To generate embeddings for the text content of PDF files with FAISS.
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From Notebook to Serverless: Creating a Multimodal Search Engine with Amazon Bedrock and PostgreSQL
Continue to Building a Multimodal Search Engine with Amazon Titan Embeddings, Aurora Serveless PostgreSQL and LangChain
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Building a Multimodal Search Engine with Amazon Titan Embeddings, Aurora Serveless PostgreSQL and LangChain
git clone https://github.com/build-on-aws/langchain-embeddings
What are some alternatives?
When comparing vector-search-azure-cosmos-db-postgresql and langchain-embeddings you can also consider the following projects:
bert-solr-search - Search with BERT vectors in Solr, Elasticsearch, OpenSearch and GSI APU
gpt-vector-agent - 🧩 Interfacing with different LLMs-chains, vectorstore databases, and autonomous agents.
recipes - This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!
ml - Machine Learning, LLM and other Jupyter Notebooks and resources
sqlite-hybrid-search - Hybrid Search (BM25 & Vector) with SQLite
ProTaska-GPT - Unleash the Potential of Datasets with Intelligent Tasks, Tutorials, and Algorithm Recommendations.