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Similar projects and alternatives to what_are_embeddings
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ollama
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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Prompt-Engineering-Guide
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testcontainers-node
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pgvectorscale
Postgres extension for vector search (DiskANN), complements pgvector for performance and scale. Postgres OSS licensed.
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pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
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what_are_embeddings discussion
what_are_embeddings reviews and mentions
- What Are Embeddings? (Paper)
- What Are Embeddings?
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SpringAI, llama3 and pgvector: bRAGging rights!
Then, I will take these essays and create embeddings from them, which I will store in Postgres, using the pgvector extension in columns of vector data type. All with the help of SpringAI abstractions and least amount of custom code. I will skip the part called "chunking". When you are dealing with very large documents, or want to isolate sections in your data (like in e-mails where you have subject, sender, etc..) you might look into doing that.
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The Illustrated Word2Vec
That is essentially correct. You take an object and "embed" it in a high-dimensional vector space to represent it.
For a deep dive, I highly recommend Vicki Boykis's free materials:
https://vickiboykis.com/what_are_embeddings/
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GPT Weekly - 3rd July Edition - Adobe’s Safety Net, Open-Source AI: Expanded Context Lengths and more.
LLMs require embeddings to work. What are embeddings? But, did you know embeddings also power the recommendation engines? Another guide on embeddings.
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A note from our sponsor - SaaSHub
www.saashub.com | 14 Aug 2026
Stats
The primary programming language of what_are_embeddings is Jupyter Notebook.
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