Learning and Implementing INGESTION, RETRIVAL-AUGMENTED-GENERATION. LLMS | PINECONE | LANGCHAIN | LANGSMITH |
-
Updated
Jul 29, 2024 - Python
Learning and Implementing INGESTION, RETRIVAL-AUGMENTED-GENERATION. LLMS | PINECONE | LANGCHAIN | LANGSMITH |
Chatbot built using generative-ai
EmoCare ( "Emotion" + "Care" ) is a project about attending the patients appointment and give a solution how their emotional behavior is and gives the conclusion using Facial Recognition.
a langchain nextjs app using pinecone vector store and ollama embeddings
A package to vectorize pdf files and interact with Pinecone DB
.NET clients for Pinecone Vector database
This application will help you to have a conversation with your pdf
A cutting-edge AI SaaS platform that facilitates interactive chats around PDF files using AI chat assistant.
This is an experiment in learning langchain, pinecone and stuff, don't mind
Workshop LLM and Database Vector at Google DevFest Cerrado 2023, Goiânia, Goiás, Brazil.
Created a custom chatbot that will reply to your question based on the data stored in it's memory.Technology used are prisma ORM, mongoDB, pineconeDB to store vectors, openAI Text-embedding-ada-002-v2 to embed the text. I have followed a youtube tutorial to learn this.
Getting started with RAG system using Langchain in Node.js. This project uses OpenAI for embedding and Pinecone for Vector DB.
An AI text generating app
Quill - conversations with any CSV or PDF documents.
This repository is dedicated to learning LangChain by creating a generative AI application. This web application uses Pinecone as a vector store to answer questions related to LangChain, utilizing sources from the official LangChain documentation.
Add a description, image, and links to the pineconedb topic page so that developers can more easily learn about it.
To associate your repository with the pineconedb topic, visit your repo's landing page and select "manage topics."