Data Storage
Unlike some other popular algorithms, DiskANN is designed to keep memory usage to a minimum. This makes it a great match for use cases where Turso already excels at.
#Multitenancy
Turso allows for an easy implementation of a database-per-tenant pattern, where databases can be cheaply created on-demand. Keeping memory consumption at bay is critical... See more
#Multitenancy
Turso allows for an easy implementation of a database-per-tenant pattern, where databases can be cheaply created on-demand. Keeping memory consumption at bay is critical... See more
Turso brings Native Vector Search to SQLite
filesystem_spec
A specification for pythonic filesystems.
Install
pip install fsspec
would install the base fsspec. Various optionally supported features might require specification of custom extra require, e.g. pip install fsspec[ssh] will install dependencies for ssh backends support. Use pip install fsspec[full] for installation of all known... See more
A specification for pythonic filesystems.
Install
pip install fsspec
would install the base fsspec. Various optionally supported features might require specification of custom extra require, e.g. pip install fsspec[ssh] will install dependencies for ssh backends support. Use pip install fsspec[full] for installation of all known... See more
fsspec • GitHub - fsspec/filesystem_spec: A specification that python filesystems should adhere to.
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
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
Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]
SQL has limitations as it is built on relational concepts and relies on binary joins.
The future of databases is shifting towards relational knowledge graphs, allowing the flexibility to work with various data structures beyond tables.
Businesses are moving towards explicitly modeling business semantics and logic, which are often stored in... See more
The future of databases is shifting towards relational knowledge graphs, allowing the flexibility to work with various data structures beyond tables.
Businesses are moving towards explicitly modeling business semantics and logic, which are often stored in... See more
Nicolay Gerold • Tweet
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
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
GitHub - kingjulio8238/memary: Longterm Memory for Autonomous Agents.
Data
Getting Started
Keyv is a simple key-value storage system that supports multiple backends. It's designed to be a simple and consistent way to work with key-value stores.
To learn how to use Keyv, check out the keyv README. To learn how to use a specific storage adapter, check out the README for that adapter under Storage Adapters.
Keyv is a simple key-value storage system that supports multiple backends. It's designed to be a simple and consistent way to work with key-value stores.
To learn how to use Keyv, check out the keyv README. To learn how to use a specific storage adapter, check out the README for that adapter under Storage Adapters.
jaredwray • GitHub - jaredwray/keyv: Simple key-value storage with support for multiple backends
Datasette is a tool for exploring and publishing data. It helps people take data of any shape, analyze and explore it, and publish it as an interactive website and accompanying API.
Datasette is aimed at data journalists, museum curators, archivists, local governments, scientists, researchers and anyone else who has data that they wish to share with... See more
Datasette is aimed at data journalists, museum curators, archivists, local governments, scientists, researchers and anyone else who has data that they wish to share with... See more
Datasette
pg_vectorize: a VectorDB for Postgres
A Postgres extension that automates the transformation and orchestration of text to embeddings and provides hooks into the most popular LLMs. This allows you to do vector search and build LLM applications on existing data with as little as two function calls.
This project relies heavily on the work by pgvector... See more
A Postgres extension that automates the transformation and orchestration of text to embeddings and provides hooks into the most popular LLMs. This allows you to do vector search and build LLM applications on existing data with as little as two function calls.
This project relies heavily on the work by pgvector... See more
GitHub - tembo-io/pg_vectorize: The simplest way to orchestrate vector search on Postgres
With Quary, engineers can:
View the documentation.
- 🔌 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.