Python
Sign in to follow topics
Featured
All Python Content
- Latest
- Highest Rated
Tutorial
RAG Series Part 2: How to Evaluate Your RAG Application
In this tutorial, we will see how to evaluate LLM applications using the RAGAS framework, taking a RAG system as an example.May 13, 2024
Apoorva Joshi
Tutorial
RAG with Atlas Vector Search, LangChain, and OpenAI
Learn about Vector Search with MongoDB, LLMs, and OpenAI with the Python programming language.May 09, 2024
Harshad Dhavale
Quickstart
Quick Start 2: Vector Search With MongoDB and OpenAI
This quick start will guide you through how to perform vector search using MongoDB Atlas and OpenAI API.May 06, 2024
SM
Sujee Maniyam
Video
Boosting AI: Build A Chatbot With Your Data | LangChain Templates Using the RAG Pattern
✅ Find the written article here → https://mdb.link/article-9zyL1_8X8rQ ✅ Sign-up for a free cluster → https://mdb.link/free-9zyL1_8X8rQ ✅ Get help on our Community Forums → https://mdb.link/community-9zyL1_8X8rQ Discover how to enhance your AI chatbot using MongoDB Atlas Vector Search combined with LangChain Templates in our comprehensive tutorial. This video will guide you through the innovative process of integrating retrieval-augmented generation (RAG) pattern to improve your chatbot’s response accuracy and relevance. We'll walk you through the key technologies, including the use of MongoDB's Vector Search and the deployment of LangChain templates to seamlessly fuse external data with LLMs for more dynamic interactions. What You Will Learn: - How to use MongoDB Atlas Vector Search to pinpoint relevant data. - Setting up LangChain Templates for efficient AI integrations. - Step-by-step guide on deploying a chatbot using the RAG pattern. --- Subscribe to MongoDB YouTube→ https://mdb.link/subscribeApr 26, 2024
Tutorial
Enable Generative AI and Semantic Search Capabilities on Your Database With MongoDB Atlas and OpenAI
Learn how to enable Generative AI and Semantic Search capabilities on your database using MongoDB Atlas and OpenAI.Apr 25, 2024
Viraj Thakrar
Article
Harnessing Natural Language for MongoDB Queries With Google Gemini
By integrating MongoDB Atlas with Vertex AI Extensions, we offer a solution that enhances the accessibility and usability of the database.Apr 23, 2024
Venkatesh Shanbhag (+1)
Article
8 Best Practices for Building FastAPI and MongoDB Applications
FastAPI seamlessly integrates with MongoDB through the Motor library, enabling asynchronous database interactions.Apr 23, 2024
Mark Smith
Tutorial
Building an AI Agent With Memory Using MongoDB, Fireworks AI, and LangChain
Creating your own AI agent equipped with a sophisticated memory system. This guide provides a detailed walkthrough on leveraging the capabilities of Fireworks AI, MongoDB, and LangChain to construct an AI agent that not only responds intelligently but also remembers past interactions.Apr 23, 2024
Richmond Alake