example portfolio for chatbots made with streamlit, u need to use your OpenAI API key to start a chat
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Updated
Jun 11, 2024 - HTML
example portfolio for chatbots made with streamlit, u need to use your OpenAI API key to start a chat
Weaviate vector database – examples
Sentence Transformers API: An OpenAI compatible embedding API server
An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
This Python application creates a simple document assistant using Streamlit, pinecone (vector store) and a language model (openai) for generating responses to user queries.
Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)
Search on your images via text or image to image search. Uses OpenAI CLIP embedding and LanceDB
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.
💬🤖 Build a better chatbot 🤖💬
HACKTOBERFEST '23 Open Source Contribution to Weaviate: Implemented python version of Multi-Modal Search using Weaviate
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.
An application that looks at input text to search for similar passages within given sources
LangChain Documentation Helper
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