Introduce Nebula LLM to LangChain #8876
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thanks @dvonthenen! |
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Awesome! Thanks for your help with this @baskaryan !! |
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This addresses some issues with introducing the Nebula LLM to LangChain in this PR: #8876 This fixes the following: - Removes `SYMBLAI` from variable names - Fixes bug with `Bearer` for the API KEY Thanks again in advance for your help! cc: @hwchase17, @baskaryan --------- Co-authored-by: dvonthenen <david.vonthenen@gmail.com>
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Description
This PR adds Nebula to the available LLMs in LangChain.
Nebula is an LLM focused on conversation understanding and enables users to extract conversation insights from video, audio, text, and chat-based conversations. These conversations can occur between any mix of human or AI participants.
Examples of some questions you could ask Nebula from a given conversation are:
You can read more about Nebula here:
https://symbl.ai/blog/extract-insights-symbl-ai-generative-ai-recall-ai-meetings/
Integration Test
An integration test is added, but it requires network access. Since Nebula is fully managed like OpenAI, network access is required to exercise the integration test.
Linting
Dependencies
No new dependencies were introduced.
Twitter handle
@symbldotai
@dvonthenen
If you have any questions, please let me know.
cc: @hwchase17, @baskaryan