Skip to content
#

chat-with-documents

Star

Here are 10 public repositories matching this topic...

Language: All
Filter by language
All 10 Python 4 JavaScript 2 TypeScript 2 CSS 1 HTML 1
lilbee

tobocop2 / lilbee

Star 38

The whole local AI stack in one executable: it runs and manages local AI models across every GPU, and it's a search engine you can talk to, with cited answers from your files, code, and the web. MCP server for coding agents, web crawler, TUI, CLI, REST API, Python library. No Ollama or LM Studio needed, works with both.

tui self-hosted semantic-search multi-gpu local-search-engine rag llama-cpp ai-search-engine local-llm local-ai ollama lm-studio gguf local-rag notebooklm private-ai mcp-server model-manager notebooklm-alternative chat-with-documents
  • Updated Jul 18, 2026
  • Python
obsidian-lilbee

tobocop2 / obsidian-lilbee

Star 7

Obsidian community plugin: your vault as a private, self-hosted NotebookLM alternative. A built-in manager downloads and runs local AI models in one click, or use your Ollama and LM Studio. Cited answers from notes, PDFs, and code. Crawl websites into your library.

self-hosted note-taking knowledge-base obsidian semantic-search knowledge-management rag second-brain obsidian-plugin obsidian-md local-llm chat-with-pdf local-ai ollama lm-studio notebooklm private-ai obsidian-community-plugin notebooklm-alternative chat-with-documents
  • Updated Jul 17, 2026
  • TypeScript

zakir-maswani / Chat-With_CSV

Star 1

A web app that lets you chat with your CSV files using natural language. Upload a CSV, and the RAG pipeline — built with FastAPI, LangChain, Groq, HuggingFace embeddings, and FAISS — indexes your data and answers questions instantly. No SQL, no formulas, just ask.

artificial-intelligence data-ingestion langchain-python retrieval-augmented-generation langsmith rag-pipeline data-retriever-step-by-step chat-with-documents
  • Updated Jun 8, 2026
  • Python

maw-khan / context-aware-rag-chatbot-gemini

Star 0

A Retrieval-Augmented Generation (RAG) based chatbot that allows users to upload PDF documents and ask questions in natural language. The system retrieves relevant context from documents and uses Google Gemini AI to generate accurate, context-aware answers.

python semantic-search faiss document-understanding streamlit langchain pdf-chatbot google-gemini knowledge-retrieval chat-with-documents
  • Updated May 17, 2026
  • Python

Improve this page

Add a description, image, and links to the chat-with-documents topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the chat-with-documents topic, visit your repo's landing page and select "manage topics."

Learn more