MongoDB Atlas / Atlas Search / Tutorials This tutorial describes how to create an index that uses acustom analyzerand run a diacritic-insensitive query against thesample_mflix.moviescollection. It takes you through the following steps: Set up an Atlas Search index on thetitleandgenresfields in ...
db.students.createIndex({name:1}) MongoDB is well-known for its unique support for document storage and retrieval. Database Administrators can use pagination in MongoDB to retrieve documents in an understandable and attractive format. This article has shown you how the paging phenomena work in ...
We will use LangChain to create a sample RAG application and the RAGAS framework for evaluation. RAGAS is open-source, has out-of-the-box support for all the above metrics, supports custom evaluation prompts, and has integrations with frameworks such as LangChain, LlamaIndex, and observability...
Method 2: Create a Collection in MongoDB During the insert Process Another way to create a collection in MongoDB is during the insert process. If a collection does not exist, the process automatically creates one and inserts the provided data. For example, to create a collection and insert a...
Here is the snippet to do so: import json from pymongo import MongoClient # Establish connection to MongoDB client = MongoClient("localhost", 27017) # Create a database named "drones" drones = client["drones"] # Create a collection named "races" races = drones["races"] # Load dataset...
Suppose the query may utilize an index, but the predicates do not reach a single continuous range of index keys. The query also has conditions on fields outside the index. In that case, MongoDB must read the documents in addition to utilizing the index to provide the count. ...
Scan and order– the metric tells the number of operations that couldn’t perform the sort using an index. Locks time and count– metrics dedicated to different lock types showing the time needed to acquire the lock and the number of locks in the given time frame. Operations waiting for a...
MongoDB provides different kinds of functionality to the user; the find array is one of the functionalities that is provided by MongoDB. In the find array functionally we can find the required document as per our requirement. For the implementation of find array we use db.collectName. find ...
In all the examples in this post, you call on thecreateIndex()operator to create the indexes, passing along the optionalnameparameter. This allows you to give your indexes names you choose. If you don’t include thenameparameter, the index names concatenate the names of the indexed fields...
query_engine = index.as_query_engine() Yet, I don’t seem to be able to do the equivalent if the storage context is persisted to MongoDB Atlas. I would put this down to a Llama-Index issue except that there is a non working example on the MongoDB Atlas Integrations page.Tor...