awesome-llama: https://github.com/agnivchtj/python_rag_app
chroma chromadb llama2 llm nomic-embed-text ollama python rag
Score: -Infinity
Last synced: about 24 hours ago
JSON representation
Repository metadata:
Implementing a local RAG pipeline that processes PDFs and lets users query information from these documents using LLMs.
- Host: GitHub
- URL: https://github.com/agnivchtj/python_rag_app
- Owner: agnivchtj
- Created: 2024-06-15T20:18:25.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-06-23T15:33:52.000Z (almost 2 years ago)
- Last Synced: 2026-05-02T16:03:55.201Z (about 2 months ago)
- Topics: chroma, chromadb, llama2, llm, nomic-embed-text, ollama, python, rag
- Language: Python
- Homepage:
- Size: 110 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Owner metadata:
- Name: Agniv C
- Login: agnivchtj
- Email:
- Kind: user
- Description:
- Website:
- Location: Delft, NL
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/37513026?u=6ebbca3bd7de6a857104f47bc92efcd42f9f79af&v=4
- Repositories: 5
- Last Synced at: 2023-03-03T19:19:29.534Z
- Profile URL: https://github.com/agnivchtj
GitHub Events
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Committers metadata
Last synced: about 2 months ago
Total Commits: 4
Total Committers: 2
Avg Commits per committer: 2.0
Development Distribution Score (DDS): 0.5
Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| Agniv C | 3****j | 2 |
| agnivchtj | a****v@p****u | 2 |
Issue and Pull Request metadata
Last synced: 3 months ago
Total issues: 0
Total pull requests: 0
Average time to close issues: N/A
Average time to close pull requests: N/A
Total issue authors: 0
Total pull request authors: 0
Average comments per issue: 0
Average comments per pull request: 0
Merged pull request: 0
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0