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Nomic AI Profile picture
@nomic_ai
Feb 1, 2024 • 9 tweets • 5 min read • Read on X
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Introducing Nomic Embed - the first fully open long context text embedder to beat OpenAI

- Open source, open weights, open data
- Beats OpenAI text-embeding-3-small and Ada on short and long context benchmarks
- Day 1 integrations with @langchain, @llama-index, @MongoDB
Open source models are not replicable unless you have access to their training data.

We release our training dataset of 235M curated text pairs to enable anyone to replicate Nomic Embed from scratch.

Blog: blog.nomic.ai/posts/nomic-em…
Image
You can find the model on @huggingface:


The easiest way to use Nomic Embed in a managed service is through the Nomic Embedding API:

huggingface.co/nomic-ai/nomic…
docs.nomic.ai/reference/endp…
Model details:
- 137M parameters for easy deployment
- 5 days of 8xH100 time to train
- Code and data:
- Detailed Technical Report:
github.com/nomic-ai/contr…
static.nomic.ai/reports/2024_N…
Image
Embedding evaluation is broken. Benchmarks like MTEB are not sufficient for capturing all aspects of model behavior.

You can discover systematic differences in model embedding spaces using Nomic Atlas

Comparing nomic-embed-text-v1 and OpenAI Ada 002 embeddings.
blog.nomic.ai/posts/nomic-em…
Day 1 Integrations:
- Build a RAG app with Nomic Embed, @MongoDB and @NousResearch:
- Build a fully open retriever with Nomic Embed and @llamaindex:

- Integrated with @langchain
blog.nomic.ai/posts/nomic-em…
medium.com/@llama_index
python.langchain.com/docs/integrati…
Native GPT4All Integration
Chat with your data locally powered by Nomic Embed.
gpt4all.io
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We also launch the Nomic Embedding API
- 1M Free tokens!
- Production ready embedding inference API including task specific embedding customizations.
- Deep integration with Atlas Datasets
- New models incoming 👀

Sign up at atlas.nomic.ai
Image
Integrations:

@LangChainAI integration:


@llama_index integration:

@MongoDB :
python.langchain.com/docs/integrati…
medium.com/@llama_index
blog.nomic.ai/posts/nomic-em…

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More from @nomic_ai

Nomic AI Profile picture
Feb 12
Nomic Embed Text V2 is now available

- First general purpose Mixture-of-Experts (MoE) embedding model
- SOTA performance on the multilingual MIRACL benchmark for its size
- Support for 100+ languages
- Truly open source - open training data, weights, & code
- Apache 2.0 License Image
Download the model on @huggingface:

huggingface.co/nomic-ai/nomic…

Check out the training code and data:

github.com/nomic-ai/contr…

Read the blog post:

nomic.ai/blog/posts/nom…
Why Mixture-of-Experts? It activates only a subset of model parameters during training and inference, encouraging only the most relevant model parameters to be used on inputs. This maintains strong performance on downstream tasks while cutting costs and memory usage. Image
Read 6 tweets
Nomic AI Profile picture
Jun 5, 2024
Today, every Nomic-Embed-Text embedding becomes multimodal. Introducing Nomic-Embed-Vision:

- a high quality, unified embedding space for image, text, and multimodal tasks
- outperforms both OpenAI CLIP and text-embedding-3-small
- open weights and code to enable indie hacking, research, and experimentation
- released in collaboration with @MongoDB, @llama_index, @LangChainAI, @huggingface, @awscloud, @digitalocean, @LambdaAPI
Existing text-image embedding models, including OpenAI’s CLIP, dramatically underperform specialized text encoders on text retrieval tasks. This forces developers to deploy several embedding models and store several vector indices for multimodal applications. With Nomic-Embed-Vision, developers can use a single vector space to power both their text-text and text-image retrieval tasks.

blog.nomic.ai/posts/nomic-em…Image
We’ve been honored by the reception of Nomic-Embed-Text, which has grown into one of the most downloaded models on @huggingface.

We designed Nomic-Embed-Vision to be compatible with Nomic-Embed-Text out of the box, making it easy for developers using Nomic-Embed-Text to extend their applications with multimodal features.

Put simply, any vector created using Nomic-Embed-Text can be used to query vectors created by Nomic-Embed-Vision, and vice versa.Image
Read 9 tweets
Nomic AI Profile picture
Feb 26, 2024
Atlas Capability Announcement: Scalable Duplicate Detection 🍡

- Deduplicate your text, image and embedding datasets in your web browser.
- Scales to millions of datapoints (e.g. English Wikipedia)
- Cross correlate with real-time regex search and semantic lasso's.
Duplicate detection is a critical component to curating datasets for AI training.

Atlas is the only dataset platform that let's you perform this operation both in your web browser and programmatically.

Documentation: docs.nomic.ai/atlas/capabili…
When you store you data in an Atlas Dataset, it gets enhanced with attributes like duplicate clusters to support data curation workflows.

Atlas:
1. Embeds your text for your.
2. Stores your text, metadata and embeddings.
3. Enables you to export subsets that are de-duplicated.
Read 5 tweets
Nomic AI Profile picture
Feb 14, 2024
Announcing Nomic Embed v1.5 🪆🪆🪆

- Variable sized embeddings with matryoshka learning and an 8192 context.
- Outperforms OpenAI text-embedding-3-small across output sizes.
- Open source, open training code, open data.

Day 0 in @LangChainAI, @llama_index and @MongoDB
Performance is critical for the production use of embeddings but what about the memory, storage, and bandwidth footprint of the vectors?

Nomic Embed v1.5 allows you to trade off memory footprint for performance all-in-one-model.
Blog:
blog.nomic.ai/posts/nomic-em…
You can use Nomic Embed v1.5 in production through the Nomic Embedding API or run the open-weights yourself.
docs.nomic.ai/reference/endp…
Image
Read 10 tweets
Nomic AI Profile picture
Jun 20, 2023
Local LLMs in GPT4All are now 2x faster on Apple Silicone ⚡
- Supports all LLaMa models
- Exclusive support of the Replit model for 23 tok/s code generation enabling local Copilot!

Watch the 13B parameter Hermes model run at 15 tok/s locally!
gpt4all.io
To make this possible, GPT4All hackers had to implement several custom Apple Metal kernels for LLM ops (e.g. Alibi) and support a custom fork llama.cpp!
Excited to get these changes upstream!
github.com/nomic-ai/llama…
Silicone support is ready for all GPT4All bindings:
- Python
- Typescript
- Golang
- Java
Start building with powerful, open-source and *fast* local LLMs!
Documentation: docs.gpt4all.io
Read 4 tweets
Nomic AI Profile picture
Jun 1, 2023
Local LLMs now have plugins! 💥

GPT4All LocalDocs allows you chat with your private data!

- Drag and drop files into a directory that GPT4All will query for context when answering questions.
- Supports 40+ filetypes
- Cites sources.
gpt4all.io
LocalDocs enables any GPT4All model to cite its sources.

When GPT4All decides that it can improve response factuality by using your documents it does so and tells you which documents it used. Image
Install the universal local LLM client from gpt4all.io, go to settings and enable the plugin!

Documentation: docs.gpt4all.io/gpt4all_chat.h…

You will soon be able to use LocalDocs in server mode allowing you to easily augment any LLM with your private data.
Read 6 tweets

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