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A high-level, interpreted programming language and it is used for general purpose. Python is one of the most popular languages for data-intensive tasks and data science because of its rich library support for statistics, machine learning, and AI-related tasks.

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Comparing NLP Techniques for Scalable Product Search

In this article, we will compare four popular natural language processing (NLP) techniques to find the most optimal solution for retrieving the most relevant results for a search query from a large corpus of products.
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AtlasPythonAI

Sep 23, 2024
Article

Using SuperDuperDB to Accelerate AI Development on MongoDB Atlas Vector Search

Discover how you can use SuperDuperDB to describe complex AI pipelines built on MongoDB Atlas Vector Search and state of the art LLMs.
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Sep 18, 2024
Article

Multi-agent Systems With AutoGen and MongoDB

Discover how to build powerful multi-agent AI systems using AutoGen and MongoDB. This guide explores the integration of Microsoft's AutoGen framework with MongoDB's Atlas Vector Search, enabling efficient retrieval-augmented generation (RAG) and collaborative AI agents. Learn step-by-step implementation, from environment setup to agent configuration, and unlock the potential of scalable, context-aware AI solutions for complex data-driven tasks.
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Sep 18, 2024
Article

Implementing Robust RAG Pipelines: Integrating Google's Gemma 2 (2B) Open Model, MongoDB, and LLM Evaluation Techniques

This tutorial explores building a retrieval-augmented generation (RAG) pipeline by integrating Google’s Gemma 2 (2B) model, MongoDB, and LLM evaluation techniques. Gemma 2, a lightweight model with two billion parameters, is used for efficient response generation, while MongoDB acts as the vector database, enabling semantic search for relevant documents. The tutorial demonstrates how to create an asset management assistant that analyzes market reports stored in MongoDB. It covers embedding generation, vector search, and the use of the DeepEval library to assess the relevance and faithfulness of LLM-generated responses. By combining these tools, the tutorial highlights an efficient approach to building AI-driven solutions with robust performance evaluation in a RAG pipeline.
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Sep 12, 2024
Article

3 Underused MongoDB Features

This article is about three features of MongoDB that deserve to be better known: TTL Indexes, Capped Collections, and Change Streams.
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Sep 11, 2024
Article

Audio Find - Atlas Vector Search for Audio

Explore the creation of a music catalog system that leverages the power of MongoDB Atlas's vector search and a Python service for sound embedding.
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Sep 09, 2024
Article

Capturing and Storing Real-World Optics With MongoDB Atlas, OpenAI GPT-4o, and PyMongo

Capture real-world data using MongoDB Atlas, PyMongo, and OpenAI’s GPT-4. Transform images into searchable JSON documents and interact with an AI agent.
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Sep 04, 2024
Article

MongoDB ORMs, ODMs, and Libraries

MongoDB has ORMs, ODMs, and Libraries to simplify interactions between your app and cluster. Use the best database for Ruby, Python, Java, Node.js, PHP.
MongoDB ODMs, ORMs, and Libraries

Aug 28, 2024
Article

Streaming Data With Apache Spark and MongoDB

MongoDB has released MongoDB Spark Connector V10. Learn how to read from and write to MongoDB through Spark Structured Streaming.
Streaming Data with Apache Spark and MongoDB

Aug 28, 2024
Article

8 Best Practices for Building FastAPI and MongoDB Applications

FastAPI seamlessly integrates with MongoDB through the Motor library, enabling asynchronous database interactions.
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Apr 23, 2024