Best of Langchain — May 2024

1. 1
   Article

   Towards Data Science·2y

   Using LLMs to Learn From YouTube

   Learn how to build a chatbot using LangChain, Pinecone, Flask, and React that allows users to ask questions about YouTube videos. The chatbot uses the RAG framework to generate answers that take the conversation history into account.

   96
2. 2
   Article

   DEV·2y

   GPT-4o: Learn how to Implement a RAG on the new model, step-by-step!

   Learn how to implement a RAG on the new GPT-4o model step-by-step, including setting up your OpenAI Account and API Key, using Langchain's approach on talkdai/dialog, and using GPT-4o in your content.

   73

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3. 3
   Video

   Tech With Tim·2y

   Python AI Agent Tutorial - Build a Coding Assistant w/ RAG & LangChain

   Learn how to build a custom AI agent using Lang chain and retrieval augmented generation. Query information about GitHub repositories and create a coding or GitHub assistant. Utilize tools like GitHub Vector search database to store and retrieve issues. Build an AI agent that can summarize and respond to different issues.

   33
4. 4
   Article

   Machine Learning Mastery·2y

   5 Essential Free Tools for Getting Started with LLMs

   This post introduces 5 essential free tools for getting started with LLMs: Transformers, LlamaIndex, Langchain, Ollama, and Llamafile. Each tool has its own unique set of tasks, advantages, and features to help beginners grasp the subtleties of LLM development and interact with it.

   32
5. 5
   Article

   Medium·2y

   How to Build RAG Applications with Pinecone Serverless, OpenAI, Langchain and Python

   Learn how to build RAG applications using Pinecone Serverless, OpenAI, Langchain, and Python. Discover why Pinecone is a preferred vector database, and follow a step-by-step guide on building RAG apps. Upsert data to the vector database and query it to retrieve relevant information.

   30
6. 6
   Article

   SingleStore·2y

   How to Create Open-Source AI Apps with LangChain

   LangChain is an open-source AI framework that simplifies building custom AI applications using Large Language Models (LLMs). It provides various modules/components to enhance the capabilities of LLMs' problem-solving strategies. This post includes a tutorial on how to build AI applications using LangChain, complete with installing the framework, loading a PDF, splitting its content, storing it in a database, and retrieving accurate responses.

   23

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   Article

   neo4j·2y

   LangChain Neo4j Starter Kit

   The LangChain Neo4j Starter Kit is a tool for Python developers that showcases how to generate GenAI answers using a Neo4j Graph Database. It combines technologies such as Neo4j, FastAPI, OpenAI, and LangChain.

   16
8. 8
   Article

   GoPenAI·2y

   Leveraging LangChain and Streamlit for Interactive CSV Analysis

   Learn how to leverage LangChain and Streamlit to build an interactive CSV analysis tool. Simplify and expedite CSV data analysis while enhancing productivity.

   15
9. 9
   Article

   LangChain·2y

   LangChain v0.2: A Leap Towards Stability

   LangChain v0.2 is a pre-release that includes new features, a decoupling of the langchain package from the langchain-community package, improved documentation with versioning, and the introduction of LangGraph agents.

   14