Data Storage

Who will this data model serve? These are the stakeholders and users of the data model.

Why does this data model need to be built? What is the purpose and objective of the data model?

What are the data model’s core entities, attributes, and relationships? This is where you learn to see the business through the lens of data.

When is the timeframe for... See more

memary: Open-Source Longterm Memory for Autonomous Agents

memary demo

Why use memary?

Agents use LLMs that are currently constrained to finite context windows. memary overcomes this limitation by allowing your agents to store a large corpus of information in knowledge graphs, infer user knowledge through our memory modules, and only retrieve... See more

Our Goals

We made it lightweight and kept the efficiency in mind:

• Self-contained
  
  We ship a single dependency-free binary that runs on all Linux distributions


• Fast to deploy, safe to operate
  
  We are sysadmins, we know the value of operator-friendly software


• Deploy everywhere on every machine
  
  We do not have a dedicated backbone, and neither do you,
  
  so

... See more

With Quary, engineers can:

• 🔌 Connect to their Database


• 📖 Write SQL queries to transform, organize, and document tables in a database


• 📊 Create charts, dashboards and reports (in development)


• 🧪 Test, collaborate & refactor iteratively through version control


• 🚀 Deploy the organised, documented model back up to the database

View the documentation.

SQL Studio

Single binary, single command SQL database explorer. SQL studio supports SQLite , libSQL , PostgreSQL , MySQL and DuckDB .

Local SQLite DB File

sql-studio sqlite [sqlite_db]

Remote libSQL Server

sql-studio libsql [url] [auth_token]

PostgreSQL Server

sql-studio postgres [url]

MySQL/MariaDB Server

sql-studio mysql [url]

Local DuckDB File

sq... See more

Expose Delta Tables via REST APIs

Git repo to test 3 architectures to expose delta tables via REST APIs. See also my blogpost here. Architectures can be described as follows:

• Architecture A: Direct, Web App with DuckDB. In this architecture, APIs are directly connecting to the delta table and there is no layer in between. This implies that all data

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A serverless vector database

built from first principles on object storage: 10-100x cheaper, usage-based pricing, massive scalability

Data bases have gotten so good at this, that the term is almost misleading now. “Base” suggests something rigid, without which the data would slip away. But the data is always there, just bits on a nameless hard disk. The structure and the accessibility that a modern database provides exist completely independently from that hard disk. That’s right... See more

1. Scalability is crucial - systems need to be designed with the assumption that query volume, document corpus size, indexing complexity etc. could increase by 10x. What works at one scale may completely break at a higher scale.


2. Sharding the index, either by document or by word, is important to distribute the indexing and querying load across machines.

... See more