An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
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Updated
May 6, 2024 - HTML
An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
Weaviate vector database – examples
Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)
Sentence Transformers API: An OpenAI compatible embedding API server
Search on your images via text or image to image search. Uses OpenAI CLIP embedding and LanceDB
LangChain Documentation Helper
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 🤖💬
An application that looks at input text to search for similar passages within given sources
This Python application creates a simple document assistant using Streamlit, pinecone (vector store) and a language model (openai) for generating responses to user queries.
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.
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