NeuralGPT VS langchain

Compare NeuralGPT vs langchain and see what are their differences.

NeuralGPT

Personalized all-purpose AI assistance platform based on hierarchical cooperative multi-agent framework which utilizes websocket connectivity for LLM<->LLM communication (by CognitiveCodes)

langchain

馃馃敆 Build context-aware reasoning applications (by langchain-ai)
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NeuralGPT langchain
7 38
29 87,179
- 4.5%
8.9 10.0
4 months ago 4 days ago
TeX Python
Creative Commons Zero v1.0 Universal 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.

NeuralGPT

Posts with mentions or reviews of NeuralGPT. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-17.

langchain

Posts with mentions or reviews of langchain. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-06-03.
  • How to create your own RAG AI with LangFlow
    1 project | dev.to | 11 Jun 2024
    LangChain is one of the most used frameworks to create AI agents with, if not THE most used. With nearly 90.000 stars and almost 14000 forks on GitHub at the time of this article, we can safely say it is popular.
  • Learnings from GenAI on AWS at Deloitte workshop
    3 projects | dev.to | 3 Jun 2024
    LangChain - Python and JS libraries, provides convenient functions for interacting with Amazon Bedrock鈥檚 models and related services like vector databases
  • Bridging the Last Mile in LangChain Application Development
    5 projects | dev.to | 16 May 2024
    Undoubtedly, LangChain is the most popular framework for AI application development at the moment. The advent of LangChain has greatly simplified the construction of AI applications based on Large Language Models (LLM). If we compare an AI application to a person, the LLM would be the "brain," while LangChain acts as the "limbs" by providing various tools and abstractions. Combined, they enable the creation of AI applications capable of "thinking." However, this article does not delve into the specific usage of LangChain but aims to discuss with readers the last-mile issue in LangChain application development鈥攈ow to deploy LangChain applications, using AWS as an example. Why deploy on AWS? The free tier is simply too appealing for daily use.
  • A Terminal Is All AI Needs
    4 projects | dev.to | 15 May 2024
    The number of tools and functions that aim to enhance the abilities of language models (LMs) is growing rapidly. For example, the popular LM framework LangChain grew its tool catalog from three to seventy-seven in the last 15 months. However, this approach of building tools for every little thing may be misguided and ultimately counterproductive. Instead, providing AI with direct access to a terminal, where it can use the many command line tools already created, and even create its own tools, will lead to more powerful, flexible, and future-proof systems.
  • Deploy LangServe Application to AWS
    3 projects | dev.to | 7 May 2024
    Limited by the current packaging method of Pluto, it does not yet support LangChain's Template Ecosystem. Coming soon
  • Construyendo un asistente genAI de WhatsApp con Amazon Bedrock
    2 projects | dev.to | 4 May 2024
  • Show HN: SpRAG 鈥 Open-source RAG implementation for challenging real-world tasks
    3 projects | news.ycombinator.com | 2 May 2024
  • Aider: AI pair programming in your terminal
    13 projects | news.ycombinator.com | 10 Apr 2024
    Big fan of Aider.

    We are interesting in integrating Aider as a tool for Dosu https://dosu.dev/ to help it navigate and modify a codebase on issues like this https://github.com/langchain-ai/langchain/issues/8263#issuec...

  • 馃 Llama-2-GGML-CSV-Chatbot 馃
    3 projects | dev.to | 10 Apr 2024
    Developed using Langchain and Streamlit technologies for enhanced performance.
  • Building a WhatsApp generative AI assistant with Amazon Bedrock and Python
    2 projects | dev.to | 5 Mar 2024
    Tip: Kenton Blacutt, an AWS Associate Cloud App Developer, collaborated with Langchain, creating the Amazon Dynamodb based memory class that allows us to store the history of a langchain agent in an Amazon DynamoDB.

What are some alternatives?

When comparing NeuralGPT and langchain you can also consider the following projects:

MetaGPT - 馃専 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

llama_index - LlamaIndex is a data framework for your LLM applications

text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.

semantic-kernel - Integrate cutting-edge LLM technology quickly and easily into your apps

NeuralGPT

haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

nlp.js - An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more

griptape - Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.

private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks

langchain4j - Java version of LangChain

guidance - A guidance language for controlling large language models.

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