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Please add support for auto-incrementing numeric IDs. For example, if an ID starts at 1000001, the next created record should automatically use 1000002

What problem are you trying to solve? Focus on the what and why of the need you have, not the how you'd like it solved. MongoDB lacks native support for auto-incrementing numeric IDs, forcing applications to use custom counter logic, which in...
Altaab Ansari 2 months ago in Performance & Optimization / Querying & Aggregations 6 Future Consideration

Generative AI and Smart Automation should be a key priority. MongoDB Atlas could significantly improve developer productivity by introducing AI-assisted query optimization that doesn’t just flag inefficient queries, but actively rewrites them into optimized alternatives. Automated index recommendations based on real workload telemetry would help teams make better performance decisions without deep manual analysis. Additionally, bot-assisted support workflows could speed up issue resolution by guiding users through diagnostics and common fixes more efficiently. Together, these capabilities would provide strong competitive differentiation while improving operational efficiency for both developers and platform teams.

What problem are you trying to solve? Focus on the what and why of the need you have, not the how you'd like it solved. Teams struggle to proactively identify and fix performance issues in MongoDB workloads. Query inefficiencies, missing or s...
Spideyyy N/A 2 months ago in Atlas Monitoring, Alerts & Observability / Data Modeling & Indexing / Performance & Optimization 1 Future Consideration

Show latest document first instead of first document, in list

What problem are you trying to solve? Focus on the what and why of the need you have, not the how you'd like it solved. What would you like to see happen? Describe the desired outcome or enhancement. Why is this important to yo...
Profit Buddy AI 2 months ago in Performance & Optimization / Querying & Aggregations 1 Future Consideration

Hybrid Search

Provide improved support for combining $search and $vectorSearch stages
Guest 9 months ago in Vector Search 0 Submitted

Threshold-based similarity search

We should support threshold-based similarity search instead of solely topK search. This would allow us to more efficiently gather results by considering a relevancy threshold within the prefilter.
Guest about 2 years ago in Vector Search 0 Submitted

Improve Performance when filtering collection as part of Atlas Vector Search

Adding filters to the $vectorSearch aggregation step should improve performance of vectorSearch given that we are searching over a smaller subset of the collection. Especially if those filters are for fields that we have an index for. When testin...
Guest almost 2 years ago in Vector Search 1 Submitted

Atlas Vector Search + Geospatial, please! 🙏

Would love to be able to do a geospatial query like $geoWithin together with Atlas Vector Search query!
Guest about 2 years ago in Vector Search 0 Submitted

Vector Search Index support in pymongo

Currently creating a Search Index of type "vector" is not possible with pymongo v4.6.2. https://www.mongodb.com/community/forums/t/create-vector-search-pymongo-latest-version-returns-command-not-found/267874/3?u=matthieu_mazzolini
Guest about 2 years ago in Vector Search 0 Submitted

Should be possible to configure profiling output destination

When enabling database profiling the output is sent to both the system.profile collection and system logs. Logging to a capped collection is fine but spamming the logs on disk is not good. We have a need to be able to react to changing query patt...
Guest over 2 years ago in Performance & Optimization 0 Submitted

RAG and Semantic Search Tools in the Atlas Search Playground

Have ideas about what features would be helpful for RAG and Semantic Search in the Atlas Search Playground? Let us know!
Guest almost 2 years ago in Vector Search 1 Submitted