Merge pull request Shubhamsaboo#115 from CodeWithCharan/main

Updated AI Blog Search Project with Qdrant and Gemini 2.0 Flash

Author: Shubhamsaboo

rag_tutorials/ai_blog_search/README.md

@@ -0,0 +1,56 @@
+# 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
+![LangGraph-Workflow](https://github.com/user-attachments/assets/07d8a6b5-f1ef-4b7e-b47a-4f14a192bd8a)
+
+## 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&center=true&vCenter=true&width=500&height=70&duration=4000&lines=Thanks+for+visiting!+👋;+Message+me+on+Linkedin!;+I'm+always+down+to+collab+:)"/>