LangChain Documentation Helper
-
Updated
May 16, 2023 - HTML
LangChain Documentation Helper
Chat para hablar con tus datos y OpenAI
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
A list of almost all LMs (large model),include LLMs
An app to interact privately with your documents using the power of GPT, 100% privately, no data leaks
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
🧠 Quivr Chatbot extension - Instantly access Quivr, dump your files and chat with them using your Generative AI Second Brain using LLMs ( GPT 3.5/4, Private, Anthropic, VertexAI ) & Embeddings 🧠
This project is a reference implementation of the Hierarchical Navigable Small World graph paper by Malkov & Yashunin (2018) as a companion to the AWS presentation by Ben Duncan (Startup Solution Architect) "What you need to know about Vector Databases. From use-cases to a deep dive on the technology."
Chatbot for Indian Law using Llama-7B-chat using Langchain integration and Streamlit UI.
Using LlamaIndex, Redis, and OpenAI to chat with PDF documents. Supplementary material for blog post on Microsoft Developer Blog
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
Sample of implementing a simple in-memory vector store
Add a description, image, and links to the vectorstore topic page so that developers can more easily learn about it.
To associate your repository with the vectorstore topic, visit your repo's landing page and select "manage topics."