Skip to content

: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 2024-07-032024-09-28 (UTC)

Complete coverage26,383 / 26,383 hourly files (100%) · 2 absent upstream2023-08-152026-08-18 (UTC)
Events
77
Pushes
7
Pull requests
5
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 88 days from 2024-07-03 to 2024-09-28. Pushes: 7 total, peak 1 in a day. Pull requests: 5 total, peak 3 in a day. Issues: 0 total, peak 0 in a day. Comments: 31 total, peak 11 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
CuriousLearner2507520
srini04710007
kanenorman9004

Recent activity

Latest issues, pull requests and releases

  • Issue comment#2CuriousLearner22024-08-20 14:07
    JQ-JSON to Haystack Doc
  • Pull request#2CuriousLearner22024-08-20 14:06
  • Pull request#3CuriousLearner22024-08-19 03:37
  • Pull request#2CuriousLearner22024-08-08 16:42
  • Pull request#1CuriousLearner22024-08-08 16:14
  • Pull request#1CuriousLearner22024-08-08 16:11

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.