An AI Assistant to answer user queries based on your own knowledge base!

This repository contains the implementation of a Retrieval-Augmented Generation (RAG) agent using Large Language Models (LLMs). RAG agents combine the power of information retrieval with text generation, enabling applications such as intelligent question-answering systems, and more.

In this repo implemented LLMs on custom data, using the power of Langchain and RAG.

This Repository contains the real life use cases of Gen-Ai (Google's Gemini + Simple RAG) in Finance Domain. It helps in summarizing any articles , but will be useful for analyzing those lengthy and complicated financial articles .

Cultivating linguistic forests from YC startup pitches using bio-inspired grammar trees to map pitch patterns.

Colab notebooks exploring topics in Data Science and AI, discussed on the blog: https://medium.com/@jgrygolec

ASIRI AI is a multi PDF chat AI that generates responses based on the contents of uploaded PDF documents.

A locally-hosted platform for document analysis and question-answering using Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG).

A React-based visual interface that allows users to connect YouTube videos to chat nodes and interact with video content through a conversational interface.

Build RAG applications in Python with Gradient in minutes