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Top 23 Jupyter Notebook Embedding Projects
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awesome-generative-ai
A curated list of Generative AI tools, works, models, and references (by filipecalegario)
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bootcamp
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc. (by milvus-io)
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Project mention: Join our DEV Weekend Challenge: Passion Edition — $1,000 in Prizes Across FIVE Winners! Submissions Due July 13 at 6:59 AM UTC. | dev.to | 2026-07-09
Best use of Google AI
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amazon-bedrock-samples
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
Amazon Bedrock product page
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vlms-zero-to-hero
This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.
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vectordb-recipes
Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs
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azure-search-vector-samples
A repository of code samples for Vector search capabilities in Azure AI Search.
Project mention: Building a Vector Index in Azure AI Search: HNSW, Profiles, and RAG Retrieval | dev.to | 2026-06-02Azure AI Search vector samples — GitHub: https://github.com/Azure/azure-search-vector-samples
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cleora
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
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examples
Analyze the unstructured data with Towhee, such as reverse image search, reverse video search, audio classification, question and answer systems, molecular search, etc. (by towhee-io)
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fcc-ai-engineering-aws
A Practical Course on Embeddings, RAG, Multimodal Models, and Agents with Amazon Nova.
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entity-embed
PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.
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ragoon
High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡
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langchain-embeddings
This repository demonstrates the construction of a state-of-the-art multimodal search engine, leveraging Amazon Titan Embeddings, Amazon Bedrock, and LangChain.
Project mention: Build Agentic Video RAG with Strands Agents and Containerized Infrastructure | dev.to | 2025-09-30⚠️⚠️⚠️⚠️Infrastructure Requirement: Deploy the container-video-embeddings CDK stacks before running this notebook. ⚠️⚠️⚠️⚠️
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embedding-encoder
Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
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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.
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NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
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Index
What are some of the best open-source Embedding projects in Jupyter Notebook? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | awesome-generative-ai | 3,498 |
| 2 | bootcamp | 2,438 |
| 3 | generative-ai-docs | 2,250 |
| 4 | amazon-bedrock-samples | 1,468 |
| 5 | vlms-zero-to-hero | 1,161 |
| 6 | what_are_embeddings | 1,091 |
| 7 | vectordb-recipes | 965 |
| 8 | azure-search-vector-samples | 909 |
| 9 | Fast_Sentence_Embeddings | 624 |
| 10 | cleora | 540 |
| 11 | examples | 521 |
| 12 | kgtk | 420 |
| 13 | beyondllm | 293 |
| 14 | fcc-ai-engineering-aws | 202 |
| 15 | Research2Vec | 198 |
| 16 | entity-embed | 161 |
| 17 | ragoon | 70 |
| 18 | langchain-embeddings | 58 |
| 19 | embedding-encoder | 42 |
| 20 | battle-of-the-semantics | 16 |
| 21 | vector-search-azure-cosmos-db-postgresql | 11 |
| 22 | diemsim | 8 |
| 23 | emotion-classifier | 6 |
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