Langchain Ollama Streaming example implemented in the flask
-
Updated
Apr 17, 2024 - Python
Langchain Ollama Streaming example implemented in the flask
The applications of frameworks like Langchain and APIs for creating AI agents and RAGs
A powerful Streamlit application that generates concise summaries of articles from Wikipedia and Medium based on user queries and automatically posts them to a Telegram channel. Perfect for researchers, students, and knowledge enthusiasts looking to quickly digest information from trusted sources.
A powerful web-based application designed to answer questions based on the content of uploaded PDF documents. This project leverages the **Fusion-in-Decoder (FiD)** approach for **Retrieval-Augmented Generation (RAG)**, combining semantic similarity, technical term relevance, and recency to deliver accurate and contextually relevant responses
The **Jobinja Job Search Agent** is a powerful Python application designed to simplify job searches on Jobinja.ir, a leading job portal in Iran.
The tutorial video search engine that implemented by Langchain and Langgraph
Generative AI has made remarkable strides in creating human-like text, images, and even code. However, traditional models like GPT rely solely on pre-trained knowledge, which can lead to outdated, inaccurate, or hallucinated responses. Retrieval-Augmented Generation (RAG) addresses these limitations. We offer various types of RAG here
This project is a Streamlit application that empowers users to upload PDF documents and engage in interactive question-answering sessions about their content. It employs an Iterative Retrieval-Augmented Generation (RAG) technique, enhanced with a feedback mechanism, to deliver precise and contextually relevant answers
🎓 Production-grade RAG Tutor for handwritten notes. Features Hybrid Search (BGE-M3 + BM25), Cross-Encoder Reranking, and an LLM-based OCR cleaning pipeline.
a powerful Python application designed to make medical test reports accessible to everyone. By uploading an image of a medical test report (e.g., blood tests, X-rays), users receive a clear, concise interpretation of their health status, including any abnormal results and actionable recommendations.
AI Scraper
An innovative Python project that empowers Persian speakers to control their Windows computers using voice commands. This application allows users to record voice commands in Persian, transcribe them into text using a fine-tuned AI model, and execute corresponding Windows commands securely.
A mini project to practice web scraping and local AI orchestration using Python.
Python script for research comparing LLMs (GPT models) to human engineers in evaluating manual test cases. Uses Langchain & Ollama for structured, data-driven test case quality assessment. Explores reasoning & prompt engineering impact.
The AI agents that execute different tasks with assistance of LangChain, CrewAI and AutoGen
This project is an Image Similarity Search Engine built with Python, utilizing Streamlit for the user interface and integrating with AI models via Ollama and CrewAI for advanced image analysis and keyword generation.
PestGuardian is a web-based application designed to assist farmers and gardeners in identifying pests in their crops and providing actionable recommendations for their elimination
Llama 3.2 and qwen3 embedding model were used Locally for implementing RAG on pizza reviews file
A Python application designed to automate the management and summarization of your unread Gmail emails. This tool fetches your unread emails, categorizes them into relevant groups (e.g., newsletters, personal, work), and provides concise summaries, all accessible through a user-friendly web interface built with Streamlit.
Add a description, image, and links to the langchain-ollama topic page so that developers can more easily learn about it.
To associate your repository with the langchain-ollama topic, visit your repo's landing page and select "manage topics."