rauni-iitr/RAG-Langchain-ChromaDB-OpenSourceLLM-Streamlit
Langchain RAG model, with output streaming on Streamlit and using persistent VectorStore in disk
This project helps you quickly get answers from your own PDF documents using a chat interface. You feed in one or more PDF files, and it allows you to ask questions and receive conversational answers, much like popular AI chatbots. This is ideal for researchers, analysts, or anyone who needs to extract information from their documents without manually sifting through them.
No commits in the last 6 months.
Use this if you want to set up a local, private question-answering system for your PDF documents.
Not ideal if you need to analyze highly complex documents with intricate formatting or expect perfect, nuanced understanding of every detail.
Stars
9
Forks
4
Language
Python
License
—
Category
Last pushed
Apr 17, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/rauni-iitr/RAG-Langchain-ChromaDB-OpenSourceLLM-Streamlit"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
run-llama/llama_index
LlamaIndex is the leading document agent and OCR platform
emarco177/documentation-helper
Reference implementation of a RAG-based documentation helper using LangChain, Pinecone, and Tavily..
janus-llm/janus-llm
Leveraging LLMs for modernization through intelligent chunking, iterative prompting and...
JetXu-LLM/llama-github
Llama-github is an open-source Python library that empowers LLM Chatbots, AI Agents, and...
Vasallo94/ObsidianRAG
RAG system to query your Obsidian notes using LangGraph and local LLMs (Ollama)