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- Description: Added improvements in Nebula LLM to perform auto-retry; more generation parameters supported. Conversation is no longer required to be passed in the LLM object. Examples are updated. - Issue: N/A - Dependencies: N/A - Tag maintainer: @baskaryan - Twitter handle: symbldotai --------- Co-authored-by: toshishjawale <toshish@symbl.ai>
19 lines
717 B
Plaintext
19 lines
717 B
Plaintext
# Nebula
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This page covers how to use [Nebula](https://symbl.ai/nebula), [Symbl.ai](https://symbl.ai/)'s LLM, ecosystem within LangChain.
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It is broken into two parts: installation and setup, and then references to specific Nebula wrappers.
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## Installation and Setup
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- Get an [Nebula API Key](https://info.symbl.ai/Nebula_Private_Beta.html) and set as environment variable `NEBULA_API_KEY`
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- Please see the [Nebula documentation](https://docs.symbl.ai/docs/nebula-llm) for more details.
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- No time? Visit the [Nebula Quickstart Guide](https://docs.symbl.ai/docs/nebula-quickstart).
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### LLM
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There exists an Nebula LLM wrapper, which you can access with
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```python
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from langchain.llms import Nebula
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llm = Nebula()
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```
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