LangChain Documentation Helper
An application that looks at input text to search for similar passages within given sources
Trained chat-gpt 3.5 turbo model on 1000+ FAQs for students by vectorizing data using Pinecone DB. Used Langchain API & Reddit API for embedding & querying data, hosted w/ AWS Elastic Beanstalk.
HACKTOBERFEST '23 Open Source Contribution to Weaviate: Implemented python version of Multi-Modal Search using Weaviate
💬🤖 Build a better chatbot 🤖💬
The objective of this project is to create a chatbot that can be used to communicate with users to provide answers to their health issues. This is a RAG implementation using open source stack.
Search on your images via text or image to image search. Uses OpenAI CLIP embedding and LanceDB
Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)
This application aims to provide users with a convenient way to interact with Langchain documentation through a chat interface powered by advanced Generative AI technologies
This Python application creates a simple document assistant using Streamlit, pinecone (vector store) and a language model (openai) for generating responses to user queries.
An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
example portfolio for chatbots made with streamlit, u need to use your OpenAI API key to start a chat
RAG based conversational sales agent chatbot with Gradio frontend that can answer queries about BMW Mini cars and provide suitable recommendations based on personal info.
Sentence Transformers API: An OpenAI compatible embedding API server
🚀 Revolutionize your data interaction with a cutting-edge chatbot built on Retrieval-Augmented Generation (RAG) and OpenAI’s GPT-4. Upload documents, create custom knowledge bases, and get precise, contextual answers. Ideal for research, business operations, customer support, and more!
This is a "Question and Answer" application built using IBM watsonx.ai flows engine. The project leverages a vector database to enhance the Large Language Model's (LLM) context awareness with a set of documents, specifically watsonxdocs.
🗃️✨ Mebox is an open-source alternative to OpenAI's file_search tool, designed to efficiently process, store, and retrieve file-based information using Supabase and open source embeddings.
An interactive AI-powered podcast co-host with voice interaction and document processing capabilities
The LLM Health Assistant is an AI-driven health consultation platform using LLM and RAG for intelligent Q&A, supporting text/voice interaction, PubMed retrieval, and user data management.
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