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.

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.

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 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.

Harnessing the synergy of LangChain and the Google Gemini Model, this advanced chatbot transforms digital interactions with its generative AI capabilities.

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.

Working and explanation of LangChain, an open-source framework that allows users to build applications using LLMs like GPT4 and GPT 3.5 Turbo.

Learn all about AI

A detailed notebook tutorial about LangChain Chains, Memory, Agents, Models, and Prompts.

Multiple PDF file reader chat bot

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ChatWithCode is a project designed to interact with source code through a conversational interface, typically leveraging a chatbot.

Scrapes job posts from LinkedIn and Indeed using Selenium. Also includes some further analysis and simple explorations with langchain

For the purposes of familiarization and learning. Consists of utilizing LangChain framework, LangSmith for tracing, OpenAI LLM models, Pinecone serverless vectorDB using Jupyter Notebook and Python.

This repo includes some practice examples using openAI, LangChain, ChromaDB and Pinecone