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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 2023-10-132024-07-26 (UTC)

Partial coverage20,503 / 26,259 hourly files (78%) · 2 absent upstream · 5,753 failed, retryable2023-08-152026-08-13 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
54
Pushes
24
Pull requests
14
Issues
0
Stars
1
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 288 days from 2023-10-13 to 2024-07-26. Pushes: 24 total, peak 3 in a day. Pull requests: 14 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 1 total, peak 1 in a day. Stars: 1 total, peak 1 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
mhaligowski3322110
lilwilsond25221
ZanSara1010

Recent activity

Latest issues, pull requests and releases

  • Pull request#12ZanSara2023-11-23 10:35
  • Pull request#11mhaligowski2023-11-09 05:43
  • Pull request#11mhaligowski2023-11-09 05:37
  • Pull request#10mhaligowski2023-11-08 03:20
  • Pull request#10mhaligowski2023-11-08 03:16
  • Pull request#9mhaligowski2023-11-07 22:44
  • Pull request#5mhaligowski2023-10-31 19:20
  • Pull request#5mhaligowski2023-10-31 19:20
  • Pull request#3mhaligowski2023-10-27 20:31
  • Pull request#3mhaligowski2023-10-27 20:30
  • Pull request#2mhaligowski2023-10-26 21:05
  • Pull request#2mhaligowski2023-10-26 02:53
  • Pull request#1lilwilsond22023-10-19 20:54
  • Issue comment#1lilwilsond22023-10-13 08:27
    init generator
  • Pull request#1lilwilsond22023-10-13 08:25

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.