LangChain Documentation Helper
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Updated
May 16, 2023 - HTML
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 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.
Sentence Transformers API: An OpenAI compatible embedding API server
Weaviate vector database – examples
example portfolio for chatbots made with streamlit, u need to use your OpenAI API key to start a chat
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