modelfusion
haystack
modelfusion | haystack | |
---|---|---|
18 | 55 | |
952 | 13,883 | |
12.3% | 3.6% | |
9.9 | 9.9 | |
6 days ago | about 4 hours ago | |
TypeScript | Python | |
MIT License | Apache License 2.0 |
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.
modelfusion
-
Next.js and GPT-4: A Guide to Streaming Generated Content as UI Components
ModelFusion is an AI integration library that I am developing. It enables you to integrate AI models into your JavaScript and TypeScript applications. You can install it with the following command:
-
Effortlessly Generate Structured Information with Ollama, Zod, and ModelFusion
ModelFusion is an open-source library I'm developing to integrate AI models seamlessly into TypeScript projects. It provides an Ollama client and a generateStructure function.
-
Create Your Own Local Chatbot with Next.js, Ollama, and ModelFusion
ModelFusion: ModelFusion is a library for building multi-modal AI applications that I've been working on. It provides a streamText function that calls AI models and returns a streaming response. ModelFusion also contains an Ollama integration that we will use to access the OpenHermes 2.5 Mistral model.
-
PDF Chat with Node.js, OpenAI and ModelFusion
You can find the complete code for the chatbot here: github/com/lgrammel/modelfusion/examples/pdf-chat-terminal
-
Ask HN: Tell us about your project that's not done yet but you want feedback on
I’m working on ModelFusion, a TypeScript library for working with AI models (llm, image, etc.)
https://github.com/lgrammel/modelfusion
It is only getting limited traction so I’m wondering if I’m missing something fundamental with the approach that I’m taking.
-
LangChain Agent Simulation – Multi-Player Dungeons and Dragons
If you work with JS or TS, check out this alternative that I've been working on:
https://github.com/lgrammel/modelfusion
It lets you stay in full control over the prompts and control flow while make a lot of things easier and more convenient.
-
Introducing ModelFusion: Build AI apps with JavaScript and TypeScript.
The response also contains additional information such as the metadata and the full response. The ModelFusion documentation contains many examples and demo apps.
- Show HN: AI-utils.js – TypeScript-first lib for AI apps, chatbots, and agents
-
ai-utils.js VS langchainjs - a user suggested alternative
2 projects | 26 Jul 2023
- ai-utils.js: TypeScript-first library for building AI apps, chatbots, and agents.
haystack
-
Haystack DB – 10x faster than FAISS with binary embeddings by default
I was confused for a bit but there is no relation to https://haystack.deepset.ai/
-
Release Radar • March 2024 Edition
View on GitHub
-
First 15 Open Source Advent projects
4. Haystack by Deepset | Github | tutorial
-
Generative AI Frameworks and Tools Every Developer Should Know!
Haystack can be classified as an end-to-end framework for building applications powered by various NLP technologies, including but not limited to generative AI. While it doesn't directly focus on building generative models from scratch, it provides a robust platform for:
-
Best way to programmatically extract data from a set of .pdf files?
But if you want an API that you can use to develop your own flow, Haystack from Deepset could be worth a look.
-
Which LLM framework(s) do you use in production and why?
Haystack for production. We cannot afford breaking changes in our production apps. Its stable, documentation is excellent and did I mention its' STABLE!??
- Overview: AI Assembly Architectures
-
Llama2 and Haystack on Colab
I recently conducted some experiments with Llama2 and Haystack (https://github.com/deepset-ai/haystack), the NLP/LLM framework.
The notebook can be helpful for those trying to load Llama2 on Colab.
1) Installed Transformers from the main branch (and other libraries)
- Build with LLMs for production with Haystack – has 10k stars on GitHub
- Show HN: Haystack – Production-Ready LLM Framework
What are some alternatives?
langchainjs - 🦜🔗 Build context-aware reasoning applications 🦜🔗
langchain - 🦜🔗 Build context-aware reasoning applications
langroid - Harness LLMs with Multi-Agent Programming
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
aipl - Array-Inspired Pipeline Language
gpt-neo - An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
hamilton - Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!
async-interval-job - ✨ setInterval for promises and async/sync functions. Support graceful shutdown and prevent multiple executions from overlapping in time.
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
chatflow - Leveraging LLM to build Conversational UIs
jina - ☁️ Build multimodal AI applications with cloud-native stack