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