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# TL;DR
Retrieval mechanisms can be used to provide kind of memory for an LLM.
This memory can be used for semantic search and QA based on retrieved code/documentation fragments.
# Context
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Right now we are just saving data in a json file as a stopgap solution while we are developing the system. But support for vector DBs is vital for scalability.
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### Problem
Is is possible to support vector similarity search in the Realm database?
### Solution
_No response_
### Alternatives
_No response_
### How important is this improvement for you?
W…
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Set up core database infrastructure for GeoLens.
Tasks:
- [ ] Create database initialization script
- [ ] Install and configure PostGIS extension
- [ ] Install and configure pgVector extension
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## Describe the bug
Thanks for the latest and greatest update. Deployed everything and restarted my tests. However with the local qdrant instance I seem to still run in the same issue. I have a sin…
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- [ ] [infinity/README.md at main · infiniflow/infinity](https://github.com/infiniflow/infinity/blob/main/README.md?plain=1)
# infinity/README.md at main · infiniflow/infinity
The AI-nati…
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Right now we have a pipeline with RAG that pulls data from a vector database when prompted. The pipeline can now answer simple questions like whats the earnings per share of the company.
Next steps…
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### A note for the community
* Please vote on this issue by adding a 👍 [reaction](https://blog.github.com/2016-03-10-add-reactions-to-pull-requests-issues-and-comments/) to the original issue to he…