Best of Langchain2023

  1. 1
    Article
    Avatar of taiTowards AI·3y

    GPT4Readability — Never Write a README Again

    GPT4Readability is a powerful tool designed to automatically generate a README.md file. It can also suggest code improvements for your Python code repositories. The entire development of this tool costs just $1.50, which seems quite cheap compared to the $20/month ChatGPT plus users pay.

  2. 2
    Article
    Avatar of kdnuggetsKDnuggets·3y

    GPT4All is the Local ChatGPT for your Documents and it is Free!

    GPT4All is the Local ChatGPT for your Documents and it is Free! It is a free-to-use, locally running, privacy-aware chatbot. The process is really simple (when you know it) and can be repeated with other models too.

  3. 3
    Article
    Avatar of freecodecampfreeCodeCamp·3y

    Learn LangChain for LLM Development

    LangChain is a framework that serves as a bridge between developers and large language models, making the design of AI-powered applications easier. The course on the freeCodeCamp.org YouTube channel teaches the basics of LangChain, covering core concepts and capabilities, creating projects like a pet name generator and a YouTube Assistant, working with agents, and designing customized storage solutions.

  4. 4
    Article
    Avatar of bytebytegoByteByteGo·3y

    How to Build a Smart Chatbot in 10 mins with LangChain

    Damien Benveniste is the author of The AiEdge newsletter and was a Machine Learning Tech Lead at Meta. He shares how to build a smart chatbot in 10 minutes with LangChain. LangChain is an incredible tool for interacting with Large Language Models (LLM) It has API connections to public LLMs, chat and embedding models.

  5. 5
    Article
    Avatar of redislabsRedis·3y

    Build an Ecommerce Chatbot With Redis, LangChain, and OpenAI

    Build an Ecommerce Chatbot with Redis, LangChain, and OpenAI. Build an ecommerce chatbot. Build a conversational retail shopping assistant that helps customers find items of interest that are buried in a product catalog. For the retail chatbot, we chose to work with the Amazon Berkeley Objects dataset.

  6. 6
    Article
    Avatar of freecodecampfreeCodeCamp·3y

    Use Vector Embeddings to Create an AI Assistant

    Vector Embeddings are a key concept in the realm of machine learning and artificial intelligence. They bridge the gap between human language and machine understanding. We just posted a course on the freeCodeCamp.org YouTube channel that will teach out about vector embeddings and how to create an AI assistant.

  7. 7
    Article
    Avatar of aiplainenglishAI in Plain English·3y

    🦜️ LangChain + Streamlit🔥+ Llama 🦙: Bringing Conversational AI to Your Local Machine 🤯

    Large Language Models (LLMs) refer to machine learning models capable of producing text that closely resembles human language. These models have created exciting prospects, especially for developers working on chatbots, personal assistants, and content creation. LLaMA is a new large language model designed by Meta AI, which is Facebook’s parent company.

  8. 8
    Article
    Avatar of freecodecampfreeCodeCamp·2y

    Learn LangChain to link LLMs with external data

    LangChain is an AI-first framework that enables developers to create context-aware reasoning applications by linking Large Language Models with external data sources. A new course on the freeCodeCamp.org YouTube channel teaches all about LangChain, covering topics such as embeddings, app flow diagrams, Supabase vector store, and more. The course equips learners with the skills needed to build a highly knowledgeable chatbot using LangChain Expression Language.

  9. 9
    Article
    Avatar of freecodecampfreeCodeCamp·3y

    How to Create an AI Tweet Generator Using LangChain

    How to create an AI Tweet Generator using LangChain and OpenAI's LLMs. It's a simple project that takes in a Tweet topic and outputs a Tweet about it. We'll use LangChain to be able to reference up-to-date information through Wikipedia. This lets us overcome ChatGPT's training data limitation, as it was only trained on data up to 2021.

  10. 10
    Article
    Avatar of taiTowards AI·3y

    Understanding LangChain 🦜️🔗: PART 1

    Langchain is an innovative framework that is revolutionizing the way we develop applications powered by language models. Langchain uses the language models to interact and adapt to their environment with ease. The idea here is to chain every module in one chain and, at last, use that chain to call all modules at once.

  11. 11
    Article
    Avatar of salesforcedevsSalesforce Developers Blog·3y

    Building AI Applications with LangChain and Node.js

    Learn how generative AI can be used to query content, the concept of retrieval-augmented generation (RAG), and the features and applications of LangChain, a comprehensive toolkit for integrating AI-powered language capabilities into applications.

  12. 12
    Article
    Avatar of streamlitStreamlit·3y

    LangChain tutorial #1: Build an LLM-powered app in 18 lines of code

    LangChain is a framework that uses LLM models to build applications for various use cases. It was first released as an open-source project in October 2022. To date, it has accumulated 41,900 stars on GitHub and has over 800 contributors. It's only 18 lines of code: i To start, create the file.

  13. 13
    Article
    Avatar of taiTowards AI·3y

    LangChain Cheatsheet — All Secrets on a Single Page

    LangChain is a framework for natural language processing tasks. It provides tools and agents to process and generate text. You can initialize and use a language model within LangChain by calling the appropriate classes and methods. Memory can also be incorporated into a conversation chain to maintain continuity in interactions.

  14. 14
    Article
    Avatar of taiTowards AI·3y

    Understanding LangChain 🦜️🔗: Part:2

    LangChain is an innovative framework that is revolutionizing the way we develop applications powered by language models. The most interesting application is creating a question-answering bot over your own custom data. We will see the actual applications of LangChain and its different use cases in 4th blog of this series.

  15. 15
    Article
    Avatar of dzDZone·3y

    AI in Java: Building a ChatGPT Clone With Spring Boot and LangChain

    Learn how to build a ChatGPT clone in Java using Spring Boot, LangChain, and Hilla. The tutorial covers synchronous chat completions and advanced streaming completion. The source code is available on GitHub.

  16. 16
    Article
    Avatar of gopenaiGoPenAI·3y

    How To Build a ChatBot to Chat With Your PDF

    How To Build a ChatBot to Chat With Your PDF Personal ChatBot is powered by Chainlit, LangChain, OpenAI and ChromaDB. In this post, Sudarshan Koirala will walk you step by step on how to create a simple ChatGPT-like UI for Chat with PDF.

  17. 17
    Article
    Avatar of streamlitStreamlit·3y

    snowChat: Leveraging OpenAI's GPT for SQL queries

    SnowChat is a powerful and user-friendly application that enables users to interact with their Snowflake DataBase using natural language queries. SnowChat leverages OpenAI's GPT model to convert natural language into queries. It has a transformative impact on data interaction by expediting and streamlining data-driven decision-making.