22---
33⚡ Building LLM-powered applications in Ruby ⚡
44
5- For deep Rails integration see: [ langchainrb_rails] ( https://github.com/andreibondarev/langchainrb_rails ) gem.
5+ For deep Rails integration see: [ langchainrb_rails] ( https://github.com/patterns-ai-core/langchabinrb_rails ) gem.
66
77Available for paid consulting engagements!
[ Email me
] ( mailto:[email protected] ) .
88
9- ![ Tests status] ( https://github.com/andreibondarev/langchainrb /actions/workflows/ci.yml/badge.svg?branch=main )
9+ ![ Tests status] ( https://github.com/patterns-ai-core/langchabinrb /actions/workflows/ci.yml/badge.svg?branch=main )
1010[ ![ Gem Version] ( https://badge.fury.io/rb/langchainrb.svg )] ( https://badge.fury.io/rb/langchainrb )
1111[ ![ Docs] ( http://img.shields.io/badge/yard-docs-blue.svg )] ( http://rubydoc.info/gems/langchainrb )
12- [ ![ License] ( https://img.shields.io/badge/license-MIT-green.svg )] ( https://github.com/andreibondarev/langchainrb /blob/main/LICENSE.txt )
12+ [ ![ License] ( https://img.shields.io/badge/license-MIT-green.svg )] ( https://github.com/patterns-ai-core/langchabinrb /blob/main/LICENSE.txt )
1313[ ![ ] ( https://dcbadge.vercel.app/api/server/WDARp7J2n8?compact=true&style=flat )] ( https://discord.gg/WDARp7J2n8 )
1414[ ![ X] ( https://img.shields.io/twitter/url/https/twitter.com/cloudposse.svg?style=social&label=Follow%20%40rushing_andrei )] ( https://twitter.com/rushing_andrei )
1515
@@ -367,7 +367,7 @@ fix_parser = Langchain::OutputParsers::OutputFixingParser.from_llm(
367367fix_parser.parse(llm_response)
368368```
369369
370- See [ here] ( https://github.com/andreibondarev/langchainrb /tree/main/examples/create_and_manage_prompt_templates_using_structured_output_parser.rb ) for a concrete example
370+ See [ here] ( https://github.com/patterns-ai-core/langchabinrb /tree/main/examples/create_and_manage_prompt_templates_using_structured_output_parser.rb ) for a concrete example
371371
372372## Building Retrieval Augment Generation (RAG) system
373373RAG is a methodology that assists LLMs generate accurate and up-to-date information.
@@ -635,7 +635,7 @@ ragas.score(answer: "", question: "", context: "")
635635```
636636
637637## Examples
638- Additional examples available: [ /examples] ( https://github.com/andreibondarev/langchainrb /tree/main/examples )
638+ Additional examples available: [ /examples] ( https://github.com/patterns-ai-core/langchabinrb /tree/main/examples )
639639
640640## Logging
641641
@@ -661,7 +661,7 @@ gem install unicode -- --with-cflags="-Wno-incompatible-function-pointer-types"
661661
662662## Development
663663
664- 1 . ` git clone https://github.com/andreibondarev/langchainrb .git `
664+ 1 . ` git clone https://github.com/patterns-ai-core/langchabinrb .git `
6656652 . ` cp .env.example .env ` , then fill out the environment variables in ` .env `
6666663 . ` bundle exec rake ` to ensure that the tests pass and to run standardrb
6676674 . ` bin/console ` to load the gem in a REPL session. Feel free to add your own instances of LLMs, Tools, Agents, etc. and experiment with them.
@@ -676,7 +676,7 @@ Join us in the [Langchain.rb](https://discord.gg/WDARp7J2n8) Discord server.
676676
677677## Contributing
678678
679- Bug reports and pull requests are welcome on GitHub at https://github.com/andreibondarev/langchainrb .
679+ Bug reports and pull requests are welcome on GitHub at https://github.com/patterns-ai-core/langchabinrb .
680680
681681## License
682682
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