13 skills found
activeloopai / DeeplakeDeeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
e-johnstonn / SalesCopilotIntelligent sales assistant built using Deep Lake, Whisper, LangChain, and GPT 3.5/4
pnkvalavala / RepochatChatbot assistant enabling GitHub repository interaction using LLMs with Retrieval Augmented Generation
peterw / JarvisBaseQuestion-answering chatbot using OpenAI's GPT-3.5-turbo model, DeepLake for the vector database, and the Whisper API for voice transcription. The chatbot also uses Eleven Labs to generate audio responses.
activeloopai / ExamplesExamples for quickly getting started using Deep Lake! https://activeloop.ai/
ngmisl / Mojo QaUsing langchain, deeplake and openai to create a Q&A on the Mojo lang programming manual
arjbingly / GragGRAG is a simple python package that provides an easy end-to-end solution for implementing Retrieval Augmented Generation (RAG). The package offers an easy way for running various LLMs locally, Thanks to LlamaCpp and also supports vector stores like Chroma and DeepLake.
chainstacklabs / Chainstack Docs ChatThis is a CLI app using LangChain and Activeloop vector DB to index and chat with the Chainstack docs
ShreyaR / Guardsqltext-2-sql with Guardrails and DeepLake
efenocchi / ReasturantInsightUnveiling the Power of Restaurant Insights: Leveraging CLIP, DeepLake, and LangGraph
iamrk04 / LLM Solutions PlaybookUnlock the potential of AI-driven solutions and delve into the world of Large Language Models. Explore cutting-edge concepts, real-world applications, and best practices to build powerful systems with these state-of-the-art models.
benitomartin / Rag Llama DeeplakeIntelligent Document Reranking RAG System
kausthub-kannan / DrakeDrakeLLM is developed to help students to solve the issue of making notes from videos, books and others. Utilising RAG, Drake helps in making quick notes along with a Q&A bot. Books, YouTube tutorials or Videos, Drake supports all your means.
