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The "lcel-tutorial" repo is designed for mastering LangChain Expression Language (LCEL), offering exercises to build stateful, multi-actor LLM applications. It's a hands-on guide to leveraging LCEL for complex workflows and agent-like behaviors. Perfect for enthusiasts eager to explore LLM's potential.
This project integrates LangChain v0.2.6, HuggingFace Serverless Inference API, and Meta-Llama-3-8B-Instruct. It provides a chat-like web interface to interact with a language model and maintain conversation history using the Runnable interface, the upgraded version of LLMChain. LLMChain has been deprecated since 0.1.17.
Welcome to our new Custom WebSearch Agent, now as an easy-to-use Streamlit app! No more sifting through loads of generic results. With this app, you get a search experience that's all about you. It's like having your own personal search assistant right at your fingertips.
*Built upon the integration of text, image, and audio modalities, this Multi-modal RAG task follows a structured, step-by-step pipeline to effectively combine and process diverse data sources.*
Generative AI demos, an example of a langchain based application that implements Retrieval-Augmented-Generation for an enhanced generation. It uses OpenAI model and OpenAI function tool agent. Able to run Ollama Mistral local LLM too.
This repository contains a Python script that uses the Langchain framework to automatically generate YouTube video titles and scripts. The script uses the GPT-3.5 language model to generate the text, and it can be customized to generate different types of content, such as educational videos, product reviews, or vlogs.
Harnessing the synergy of LangChain and the Google Gemini Model, this advanced chatbot transforms digital interactions with its generative AI capabilities.
Workshop demo for mastering RAG pipelines: Retrieval-Aided Generation with optimized retrieval, augmentation, and generation techniques. Includes practical examples using Gradio, Hugging Face, BM25, and LangChain.