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:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

active 2023-10-28 → 2024-11-28 (UTC)

Complete coverage27,343 / 27,343 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-27 (UTC)
Events
188
Pushes
114
Pull requests
4
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 398 days from 2023-10-28 to 2024-11-28. Pushes: 114 total, peak 7 in a day. Pull requests: 4 total, peak 3 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
shadeMe11411040
anakin872200
masci1100
silvanocerza1100

Recent activity

Latest issues, pull requests and releases

  • Pull request#2shadeMe2024-01-05 12:44
  • Pull request#2shadeMe2023-10-28 11:52
  • Pull request#1shadeMe2023-10-28 11:51
  • Pull request#1shadeMe2023-10-28 11:48

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.