https://github.com/rhecosystemappeng/ocp-lightspeed-embaddings
https://github.com/rhecosystemappeng/ocp-lightspeed-embaddings
Last synced: 5 months ago
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- Host: GitHub
- URL: https://github.com/rhecosystemappeng/ocp-lightspeed-embaddings
- Owner: RHEcosystemAppEng
- Created: 2023-11-08T07:09:37.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-11-19T18:32:35.000Z (over 2 years ago)
- Last Synced: 2025-04-09T07:49:50.112Z (about 1 year ago)
- Language: HTML
- Size: 108 MB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: readme.md
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README
# LightSpeed RAG
LightSpeed RAG is a services that parses html pages and stores documents and embaddings in [chromaDB](https://docs.trychroma.com/)
following this 5 concepts:
- parsing and loading data - using the
- indexing
- storing
- querying
- evaluating
https://docs.llamaindex.ai/en/stable/getting_started/concepts.html
https://docs.llamaindex.ai/en/stable/understanding/using_llms/using_llms.html
## to do
[ ] define model in config
[ ] multiple vector db support: chromadb, milvius, llmindex
[ ] add deployment folder for vectorDB's including addtions like https://github.com/milvus-io/milvus-insight