Suraj Patel

Head of MongoDB Ventures

[Diptanu Choudhury @diptanu]

Serverless compute used to mean running on someone else’s infrastructure. Today, we’re bringing @tensorlake Sandboxes inside your private network.

Tensorlake BYOC can be deployed in under 30 minutes on compute you own across AWS, GCP, Azure, and neoclouds such as CoreWeave and Nebius.

Our architecture was designed from the ground up to run the same platform on Tensorlake Cloud or customer-owned compute. The same APIs, images, and application code work across both, with zero code changes as workloads move between them.

Scale:
• More than 24,000 sandboxes scheduled per second
• Up to 5 million concurrent sandboxes in one project

Pricing:
• Up to 78% cheaper than AWS Lambda MicroVMs
• Nearly 40% cheaper than Cloud Run Sandboxes, E2B, and Daytona

https://t.co/GE1xQrNHMt

[crystal @crystalxtang]

Sandboxes are becoming the OS for agents.

This is because agents will be more persistent and stateful.

I go deep in my Substack: isolation primitives, performance, portability, architecture, build vs buy, market dynamics.

Give it a read: https://t.co/zBtgEpaoN2

[Voyage AI by MongoDB @VoyageAI]

To evaluate embeddings and retrieval, we need more benchmarks beyond MTEB that are less vulnerable to overfitting. That’s why RTEB was just beta-launched!

⚖️ Both open and held-out datasets to prevent overfitting to evaluation sets.
🌍 Realistic datasets from critical enterprise domains like law, healthcare, code, and finance.
🔎 Only focus on retrieval applications with relevant large-scale datasets.

Check out the blog and leaderboard on @huggingface and join the community in building a stronger, more reliable benchmark.

Blog: https://t.co/T6ZcROuVCg

[Dev Ittycheria @dittycheria]

We just launched Voyage-context-3, a new embedding model that gives AI a full-document view while preserving chunk-level precision that offers better retrieval performance than leading alternatives.

When building AI that reads and reasons over documents (such as reports, contracts, or medical records), it’s critical to break those documents into smaller pieces, or “chunks,” while still maintaining an understanding of the big picture. Most systems today lose important context, or require complicated workarounds to stitch it back together.

https://t.co/OcxvTzfXah

[Tengyu Ma @tengyuma]

We joined @MongoDB! @VoyageAI’s best-in-class embedding models and rerankers will be part of MongoDB’s best-in-class database, powering mission-critical AI applications with high-quality semantic retrieval capability.

A huge thank you to everyone with us on this journey, and to @dittycheria and @sahirazam for their vision in redefining the database industry for the AI era.

https://t.co/bPJBsoi7qG

[Dev Ittycheria @dittycheria]

The risk of hallucinations currently holds enterprises back from deploying AI apps. Excited to share that VoyageAI has joined MongoDB to make high-quality AI-powered search and retrieval easy, enabling organizations to build trustworthy AI apps at scale.

https://t.co/8I2x6OLzwR

[Suraj Patel @surajpatel11]

@kernio Congrats Alex!

[Unstructured @UnstructuredIO]

⚡️We are excited to announce that our new no-code Enterprise Platform is NOW available in private beta! As RAG apps advance from prototype to production we’ve been overwhelmed by requests for an enterprise grade solution to provide these applications with the data they need. Designed to make it easy to get your data #RAGready, our Platform can preprocess more than 25 file types and soon will be fully #multimodal, also able to ingest audio, video and image files.

We ship with a baseline suite of source connectors, including @awscloud S3, @Azure Blob Storage, @onedrive, SFTP, @databricks Delta Table, @googledrive, @salesforce, @elastic, OpenSearch, and @googlecloud storage with many more fast following.

Platform transforms your documents into a standardized JSON schema, broken down into semantically coherent elements allowing you to reconstruct your document in the manner most useful to you. Want only the narrative text but not the headers and footers? This is entirely configurable through the UI. Additionally, we generate more than 30 types of metadata for each element to make it easy to curate the data being written downstream and to support metadata filtering during retrieval.

Smart chunking and the ability to choose from a range of embedding models are in from launch, delivering a turnkey solution for chunk and embedding experimentation.

As for destination connectors, we've got that covered too, with @awscloud S3, @pinecone, @trychroma , @weaviate_io, @googlecloud storage, @MongoDB, @Azure cognitive search, @PostgreSQL, @elastic, OpenSearch, and @databricks Delta Table.

And of course, all of this can be scheduled to keep your data continuously hydrated.

The private-beta is live today! Sign-up to get access and come build the future of LLM data foundations with us: https://t.co/Z6myHZ9BgF 🚀

#ETLforLLMs #AI #DataPreprocessing #DataScience #DataTransformation #LLMs #ETL #ML #PreppingData #MachineLearning #RAG #Engineer #Unstructured #Unstructuredio #RetrievalAugmentedGeneration #multimodal #AIJobs

[Suraj Patel @surajpatel11]

@antonosika congrats on the launch! I see you are adding DB support soon, would love to chat.

[Suraj Patel @surajpatel11]

@hackgoofer @MongoDB Congrats! Thanks for building with us

[Suraj Patel @surajpatel11]

@bernhardsson @arpowers @_cartick Are you able to share these benchmarks?

[Suraj Patel @surajpatel11]

@payloadcms @MongoDB @JamesMikrut We really can't! excited for this video to come together so we can share it with our ecosystem

[Suraj Patel @surajpatel11]

@LM_Braswell Pretty sure LLMs can do at least two of those three things for them 😅

[Suraj Patel @surajpatel11]

@g_xing Supacool — couldn’t help myself

[Suraj Patel @surajpatel11]

@frasergeorgew @pablankley that was true in early Looker days but over time there were plenty of customers that wanted to use LookML without viz/dashboard. user/permissions still required. as data consumption becomes more data science & reverse ETL and less pure reporting the non-viz use cases grow

[Label Studio @LabelStudioHQ]

Label Studio Hits 1.0! After a year and a half since the project has started, we're excited to announce an important milestone. Read the announcement https://t.co/zSn2URV6X5

[Suraj Patel @surajpatel11]

@masonic_tweets Put it in a local DB and run queries

[Suraj Patel @surajpatel11]

@sahaskatta How would you feel about webcar?

[Suraj Patel @surajpatel11]

Congrats @AylonSteinhart and the @eclipse_foods team for shaking things up #GoBears

[VegNews @VegNews]

Ice cream lovers in both New York City and the San Francisco Bay Area will be the first to try startup @eclipse_foods revolutionary new ice cream at two artisan ice cream chains @oddfellowsNYC and @humphryslocombe.
https://t.co/47Ti8TUcAm

[Suraj Patel @surajpatel11]

@micahjay1 Only if you plan to use the glasses exclusively before bed or when you’re in front of a screen