lingoose
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🪿 LinGoose is a Go framework for building awesome AI/LLM applications.
- [x] fix groq api key env var https://github.com/henomis/lingoose/pull/188 - [x] https://github.com/henomis/lingoose/pull/169 - [x] https://github.com/henomis/lingoose/pull/190 - [x] https://github.com/henomis/lingoose/pull/191 - [x] https://github.com/henomis/lingoose/pull/194 - [x] https://github.com/henomis/lingoose/pull/195 - [x] https://github.com/henomis/lingoose/pull/196 - [x] https://github.com/henomis/lingoose/pull/197...
## Description This PR primarily contains a bump up to Go 1.22.0 and golangci-lint 1.56.2 . While golangci-lint version is the latest at the moment, there is a newer 1.22.1...
## Description I needed support for the JSON output that OpenAI supports by setting the type. This is already supported by the underlying client. ## Type of change - [X]...
https://github.com/henomis/lingoose/blob/7ea0cd0ffb053da68c07e1fc05b64fab9ba52adb/llm/openai/openai.go#L346  
…TypeFunction" in openai.go # Pull Request Template ⚠️ **Please do not submit a Pull Request without creating an issue first. Any change needs to be discussed.** ## Description Please include...
LinGoose needs a better technical documentation. The actual documentation can be found here https://lingoose.io/docs/ There are a lot of examples in [examples/](https://github.com/henomis/lingoose/tree/main/examples) directory that can be used as a code...
**Long term plan** - [ ] implement agent see https://github.com/ColinEberhardt/langchain-mini/blob/main/index.mjs - [ ] implement tools - [ ] see https://github.com/imartinez/privateGPT - [ ] see https://medium.com/llamaindex-blog/a-new-document-summary-index-for-llm-powered-qa-systems-9a32ece2f9ec - [ ] plan and...
I tried the examples for Anthropic here: https://github.com/henomis/lingoose/tree/main/examples/llm/antropic And they work fine. However, I expected them to work also with the model claude-3-5-sonnet-20240620 but in that case it doesn't work;...
issue: #208
**Describe the bug** LLM produces no answer, sometimes weird answers, and other times it seems like the system message gets ignored fully when using the combination of ollama with RAG...