ort VS langchainjs

Compare ort vs langchainjs and see what are their differences.

langchainjs

🦜🔗 Build context-aware reasoning applications 🦜🔗 (by langchain-ai)
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Nutrient – The #1 PDF SDK Library, trusted by 10K+ developers
Other PDF SDKs promise a lot - then break. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. Nutrient’s SDK handles billion-page workloads - so you don’t have to debug PDFs. Used by ~1 billion end users in more than 150 different countries.
www.nutrient.io
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ort langchainjs
7 16
1,119 13,456
10.8% 3.3%
9.5 9.9
6 days ago 6 days ago
Rust TypeScript
Apache License 2.0 MIT License
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.

ort

Posts with mentions or reviews of ort. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-16.
  • AI Inference now available in Supabase Edge Functions
    4 projects | dev.to | 16 Apr 2024
    To solve this, we built a native extension in Edge Runtime that enables using ONNX runtime via the Rust interface. This was made possible thanks to an excellent Rust wrapper called Ort:
  • AI Inference Now Available in Supabase Edge Functions
    1 project | news.ycombinator.com | 16 Apr 2024
    hey hn, supabase ceo here

    As the post points out, this comes in 2 parts:

    1. Embeddings models for RAG workloads (specifically pgvector). Available today.

    2. Large Language Models for GenAI workloads. This will be progressively rolled out as we get our hands on more GPUs.

    We've always had a focus on architectures that can run anywhere (especially important for local dev and self-hosting). In that light, we've found that the Ollama[0] tooling is really unbeatable. I heard one of our engineers explain it like "docker for models" which I think is apt.

    To support models that work best with GPUs, we're running them with Fly GPUs - pretty much this: https://fly.io/blog/scaling-llm-ollama (and then we stitch a native API around it). The plan is that you will be able to "BYO" model server and point the Edge Runtime towards it using simple env vars / config.

    We've also made improvements for CPU models. We built a native extension in Edge Runtime that enables using ONNX runtime via the Rust interface. This was made possible thanks to an excellent Rust wrapper, Ort[1]. We have the models stored on disk, so there is no downloading, cold-boot, etc.

    The thing I most like about this set up is that you can now use Edge Functions like background workers for your Postgres database, offloading heavy compute for generating embeddings. For example, you can trigger the worker when a user inserts some text, and then the worker will asynchronously create the embedding and store it back into your database.

    I'll be around if there are any questions.

    [0] ollama.com

    [1] Ort: https://github.com/pykeio/ort

  • Moving from Typescript and Langchain to Rust and Loops
    9 projects | dev.to | 7 Sep 2023
    In the quest for more efficient solutions, the ONNX runtime emerged as a beacon of performance. The decision to transition from Typescript to Rust was an unconventional yet pivotal one. Driven by Rust's robust parallel processing capabilities using Rayon and seamless integration with ONNX through the ort crate, Repo-Query unlocked a realm of unparalleled efficiency. The result? A transformation from sluggish processing to, I have to say it, blazing-fast performance.
  • How to create YOLOv8-based object detection web service using Python, Julia, Node.js, JavaScript, Go and Rust
    19 projects | dev.to | 13 May 2023
    ort - ONNX runtime library.
  • Do you use Rust in your professional career?
    6 projects | /r/rust | 9 May 2023
    Our main model in Rust is a deep neural network, using ONNX via the ort rust bindings. The application is some particular applications of process automation.
  • onnxruntime
    4 projects | /r/rust | 22 Feb 2023
    You could try ort https://github.com/pykeio/ort It looks like it's in active development and supports GPU inference
  • Deep Learning in Rust: Burn 0.4.0 released and plans for 2023
    6 projects | /r/rust | 2 Jan 2023
    I would't try to distribute your ml models with the typical frameworks, especially not with python. Have you looked in to ONNX?For example: https://github.com/pykeio/ort

langchainjs

Posts with mentions or reviews of langchainjs. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-11-25.

What are some alternatives?

When comparing ort and langchainjs you can also consider the following projects:

onnxruntime-php - Run ONNX models in PHP

instructor - structured outputs for llms

onnxruntime-rs - Rust wrapper for Microsoft's ONNX Runtime (version 1.8)

modelfusion - The TypeScript library for building AI applications.

yolov8_onnx_go - YOLOv8 Inference using Go

camel - 🐫 CAMEL: Finding the Scaling Law of Agents. The first and the best multi-agent framework. https://www.camel-ai.org

yolov8_onnx_julia - YOLOv8 inference using Julia

chatgpt-localfiles - Make local files accessible to ChatGPT

FaceAiSharp - State-of-the-art face detection and face recognition for .NET.

Converter - Typescript to Scala.js converter

yolov8_onnx_javascript - YOLOv8 inference using Javascript

app - 🍕 Insights into your entire open source ecosystem.

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Nutrient – The #1 PDF SDK Library, trusted by 10K+ developers
Other PDF SDKs promise a lot - then break. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. Nutrient’s SDK handles billion-page workloads - so you don’t have to debug PDFs. Used by ~1 billion end users in more than 150 different countries.
www.nutrient.io
featured