mirror of
https://github.com/Shubhamsaboo/awesome-llm-apps.git
synced 2026-04-30 23:31:31 -05:00
56 lines
3.6 KiB
Markdown
56 lines
3.6 KiB
Markdown
# Agentic RAG with LangGraph: AI Blog Search
|
|
|
|
## Overview
|
|
AI Blog Search is an Agentic RAG application designed to enhance information retrieval from AI-related blog posts. This system leverages LangChain, LangGraph, and Google's Gemini model to fetch, process, and analyze blog content, providing users with accurate and contextually relevant answers.
|
|
|
|
## LangGraph Workflow
|
|
|
|
|
|
## Demo
|
|
https://github.com/user-attachments/assets/cee07380-d3dc-45f4-ad26-7d944ba9c32b
|
|
|
|
## Features
|
|
- **Document Retrieval:** Uses Qdrant as a vector database to store and retrieve blog content based on embeddings.
|
|
- **Agentic Query Processing:** Uses an AI-powered agent to determine whether a query should be rewritten, answered, or require more retrieval.
|
|
- **Relevance Assessment:** Implements an automated relevance grading system using Google's Gemini model.
|
|
- **Query Refinement:** Enhances poorly structured queries for better retrieval results.
|
|
- **Streamlit UI:** Provides a user-friendly interface for entering blog URLs, queries and retrieving insightful responses.
|
|
- **Graph-Based Workflow:** Implements a structured state graph using LangGraph for efficient decision-making.
|
|
|
|
## Technologies Used
|
|
- **Programming Language**: [Python 3.10+](https://www.python.org/downloads/release/python-31011/)
|
|
- **Framework**: [LangChain](https://www.langchain.com/) and [LangGraph](https://langchain-ai.github.io/langgraph/tutorials/introduction/)
|
|
- **Database**: [Qdrant](https://qdrant.tech/)
|
|
- **Models**:
|
|
- Embeddings: [Google Gemini API (embedding-001)](https://ai.google.dev/gemini-api/docs/embeddings)
|
|
- Chat: [Google Gemini API (gemini-2.0-flash)](https://ai.google.dev/gemini-api/docs/models/gemini#gemini-2.0-flash)
|
|
- **Blogs Loader**: [Langchain WebBaseLoader](https://python.langchain.com/docs/integrations/document_loaders/web_base/)
|
|
- **Document Splitter**: [RecursiveCharacterTextSplitter](https://python.langchain.com/v0.1/docs/modules/data_connection/document_transformers/recursive_text_splitter/)
|
|
- **User Interface (UI)**: [Streamlit](https://docs.streamlit.io/)
|
|
|
|
## Requirements
|
|
1. **Install Dependencies**:
|
|
```bash
|
|
pip install -r requirements.txt
|
|
```
|
|
|
|
2. **Run the Application**:
|
|
```bash
|
|
streamlit run app.py
|
|
```
|
|
|
|
3. **Use the Application**:
|
|
- Paste your Google API Key in the sidebar.
|
|
- Paste the blog link.
|
|
- Enter your query about the blog post.
|
|
|
|
## :mailbox: Connect With Me
|
|
<img align="right" src="https://media.giphy.com/media/2HtWpp60NQ9CU/giphy.gif" alt="handshake gif" width="150">
|
|
|
|
<p align="left">
|
|
<a href="https://linkedin.com/in/codewithcharan" target="blank"><img align="center" src="https://raw.githubusercontent.com/rahuldkjain/github-profile-readme-generator/master/src/images/icons/Social/linked-in-alt.svg" alt="codewithcharan" height="30" width="40" style="margin-right: 10px" /></a>
|
|
<a href="https://instagram.com/joyboy._.ig" target="blank"><img align="center" src="https://raw.githubusercontent.com/rahuldkjain/github-profile-readme-generator/master/src/images/icons/Social/instagram.svg" alt="__mr.__.unique" height="30" width="40" /></a>
|
|
<a href="https://twitter.com/Joyboy_x_" target="blank"><img align="center" src="https://raw.githubusercontent.com/rahuldkjain/github-profile-readme-generator/master/src/images/icons/Social/twitter.svg" alt="codewithcharan" height="30" width="40" style="margin-right: 10px" /></a>
|
|
</p>
|
|
|
|
<img src="https://readme-typing-svg.herokuapp.com/?font=Righteous&size=35¢er=true&vCenter=true&width=500&height=70&duration=4000&lines=Thanks+for+visiting!+👋;+Message+me+on+Linkedin!;+I'm+always+down+to+collab+:)"/> |