Comments (5)
Please check https://paperswithcode.com/ and https://scholar.google.com/ for review papers on embeddings functions, in particular for structured data.
from openadapt.
Currently, it seems that in order for us to make use of Long Term Memory we would need a distance metric more suited for our specific tasks as opposed to the defaults provided by most VectorDB.
from openadapt.
pgvector
does look promising, based on this comment:
Vector database built for scalable similarity search:
bayan1234
If the vectors are in the same database as the tabular/structured data then text to sql applications of llm's are so much more powerful. The generative models will then be able to form complex queries to find similarity as well as perform aggregation, filtering and joining across datasets. To do this today with a separate dedicated vector db is quite painful. | If the vectors are in the same database as the tabular/structured data then text to sql applications of llm's are so much more powerful. The generative models will then be able to form complex queries to find similarity as well as perform aggregation, filtering and joining across datasets. To do this today with a separate dedicated vector db is quite painful.
from openadapt.
Thank you for your recent interest in requesting support for pgvector. Thanks to your interest, Amazon RDS for PostgreSQL is pleased to announce support for pgvector.
To learn more, please see the following:
Announcement: https://aws.amazon.com/about-aws/whats-new/2023/05/amazon-rds-postgresql-pgvector-ml-model-integration/
Blog: https://aws.amazon.com/blogs/database/building-ai-powered-search-in-postgresql-using-amazon-sagemaker-and-pgvector/d
GitHub: https://github.com/pgvector/pgvector
Amazon RDS User Guide: https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Appendix.PostgreSQL.CommonDBATasks.Extensions.html
Thanks,The Amazon RDS for PostgreSQL team
See also pgvector/pgvector#54 (comment)
from openadapt.
Let's try https://github.com/asg017/sqlite-vss
from openadapt.
Related Issues (20)
- Anthropic image descriptions out of order
- Implement Reka Core adapter
- Implement NanoLLM completion adapter
- Implement NanoLLaVA completion adapter
- Implement Autodistill
- Support winget HOT 1
- [Bug]: manual installation on Windows fails on `poetry shell`
- please make docker type installation for ease. HOT 2
- please add python3.12 support HOT 2
- please add install instructions for linux on the `https://openadapt.ai/#start` page HOT 2
- [Bug]: from matplotlib._path import ( ImportError: DLL load failed while importing _path: The specified module could not be found.
- Regarding the warning and the GUI not visible
- Implement prettier for dashboard
- Implement MiniCPM-V-2
- [Bug]: fix notification icons
- Trigger replay programmatically
- Evaluate on OSWorld
- [Bug]: `poetry run install-dashboard` generates warning
- Refactor RecordProc and related
- Automatically lint dashboard
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from openadapt.