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Chat-with-Github-Repo
This repository contains two Python scripts that demonstrate how to create a chatbot using Streamlit, OpenAI GPT-3.5-turbo, and Activeloop's Deep Lake.
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deeplake
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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markdown-file-query
Semantic QA with a markdown database: Query any markdown file using vector embedding, Pinecone vector database and GPT (langchain). A weaker version of privateGPT
Github link: https://github.com/peterw/Chat-with-Github-Repo
This repository contains two Python scripts that demonstrate how to create a chatbot using Streamlit, OpenAI GPT-3.5-turbo, and Activeloop's Deep Lake. The chatbot searches a dataset stored in Deep Lake to find relevant information and generates responses based on the user's input.
Related posts
- [P] Chat With Any GitHub Repo - Code Understanding with @LangChainAI & @activeloopai
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- Build ChatGPT for Financial Documents with LangChain + Deep Lake
- Launch HN: Activeloop (YC S18) – Data lake for deep learning
- [P] Launching Deep Lake: the data lake for deep learning applications - https://activeloop.ai/