Q&A over pdf document with HuggingFace pipelines

LangChain apps | Beginner | Intermediate | Advanced level - OpenAI, LLAMA2, HuggingFace

This AI tool helps you to chat with your PDFs just by uploading it in the web interface.

The implementation of vector store build from scratch with minimal dependencies for text embedding and similarity search.

Chat Bot with langChain and OpenAI: Developed a fine tuned chatbot. Explore the different steps involved in creating a tailored chatbot using langchain and openai

Simple ChromaDB Text Ingestor

QA Bot (RAG) + Google Search

a chatbot for your docs & code

Sample code to demo the use of LlamaIndex with Azure OpenAI GPT-4 and Embedding models in RAG implementation.

Code for Embeddings, VectorStore, SemanticSearch, and RAG using Azure OpenAI

LLM RAG over PDFs

An experimental Simple RAG configurable to use any LLM model and any Embeddings model, using Langchain, Flask-SocketIO, and Llamacpp, ChromaDB, transformers

Spring AI ChatBot to generate a conersation and with option to generate images. In addition it includes a vectorstore to train on custom data. Callable over a REST API.

Documaster API is DocumentGPT. Ask questions / get summaries of pdf documents. Powered by OpenAI.

Tutorials for LangChain

LangChain Documentation Helper

Nodejs a REST API is designed to provide users with an interactive chat interface where they can ask questions and receive responses generated by an AI model. The application utilizes OpenAI embeddings and Langchain to process the user's input and generate relevant responses based on the context of the conversation.

Discover and converse with advanced AI models like Mistral, LLAMA2, and GPT-3.5 from leading sources like OLLAMA, Hugging Face, and OpenAI. Easily extract insights from PDFs, web pages, and YouTube videos with our intuitive interface. Unlock the power of knowledge with seamless chat interactions.

Chat para hablar con tus datos y OpenAI