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Search: deeplake
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Showing 7 results from 7
activeloopai/deeplake
GitHub C++ Apache License 2.0Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
External source
GitHub
e-johnstonn/SalesCopilot
GitHub Python MIT LicenseIntelligent sales assistant built using Deep Lake, Whisper, LangChain, and GPT 3.5/4
External source
GitHub
pnkvalavala/repochat
GitHub Python Apache License 2.0Chatbot assistant enabling GitHub repository interaction using LLMs with Retrieval Augmented Generation
External source
GitHub
peterw/JarvisBase
GitHub Python MIT LicenseQuestion-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.
External source
GitHub
activeloopai/examples
GitHub Jupyter Notebook Apache License 2.0Examples for quickly getting started using Deep Lake! https://activeloop.ai/
External source
GitHub
ngmisl/mojo-qa
GitHub Jupyter Notebook MIT LicenseUsing langchain, deeplake and openai to create a Q&A on the Mojo lang programming manual
External source
GitHub
arjbingly/grag
GitHub Python GNU Affero General Public License v3.0GRAG 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.
External source
GitHub