Builds Docker Image for Loading Pinecone Database with Vectors from CVE data.
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Published by vk-NEU7 2 months ago
🦜⛏️ Did you say you like data?
Chatbot from pretrained LLaMA-2 LLM model, fine-tuned with medical research papers using RAG (Ret...
Embeds text files into vectors, stores them on Pinecone, and enables semantic search using GPT3 a...
Local first semantic code search and chat powered by vector embeddings and LLMs
This repository is a 'Chat-with-your-PDF' project using RAG approach.
A Retrieval-Augmented Generation (RAG) model built using LLaMA 3.1 and LangChain.
♾️ toolkit for air-gapped LLMs on consumer-grade hardware
Converse with book - Built with GPT-3
Chat and Ask on your own data. Accelerator to quickly upload your own enterprise data and use Op...
An accessible, reliable, and efficient platform for medical information and support using LLMs
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviat...
Document chatbot — multiple files, topics, chat windows and chat history. Powered by GPT.
Semantic search with openai's embeddings stored to pineconedb (vector database)
A notion chatbot for your knowledge base built with langchain, typescript/javascript and pinecone.
GPT4 & LangChain Chatbot for large PDF docs