Explore Multiple Vector Databases and chat with documents on Multiple LLM models, private LLM models
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Updated
Jun 1, 2023 - Python
Explore Multiple Vector Databases and chat with documents on Multiple LLM models, private LLM models
Vector databases experimentation for the Knowledge Graphs and sentenceBERT embedding
Chat with your docs in PDF/PPTX/DOCX format, using LangChain and GPT4/ChatGPT from both Azure OpenAI Service and OpenAI
Ingest GitHub repo data into vectorstore with LangChain and create seamless Streamlit chatbot using GPT-4
Customized bot with langchain and gpt4
a chatbot for your docs & code
Chatbot for Indian Law using Llama-7B-chat using Langchain integration and Streamlit UI.
AIGC 知识库问答系统快速搭建,便于企业级定制化,支持文档上传,向量存储,聊天式问答。
Documaster API is DocumentGPT. Ask questions / get summaries of pdf documents. Powered by OpenAI.
Q&A over pdf document with HuggingFace pipelines
An LLM GUI application; enables you to interact with your files, offering dynamic parameters that can modify response behavior during runtime.
Integrated LLM-based document and data Q&A with knowledge graph visualization
Ask question over your Notion Database! A naive Retrieval-Augmented Generation (RAG) pipeline backed by Langchain and Streamlit
This AI tool helps you to chat with your PDFs just by uploading it in the web interface.
The implementation of vector store build from scratch with minimal dependencies for text embedding and similarity search.
Discover and converse with advanced AI models like Mistral, LLAMA2, and GPT-3.5 from leading sources like OLLAMA, Hugging Face, and OpenAI. Easily extract insights from PDFs, web pages, and YouTube videos with our intuitive interface. Unlock the power of knowledge with seamless chat interactions.
RAG Architecture for Modern Chatbots
📚 Local PDF-Integrated Chat Bot: Secure Conversations and Document Assistance with LLM-Powered Privacy
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