mirror of
https://github.com/hwchase17/langchain
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21 lines
878 B
Plaintext
21 lines
878 B
Plaintext
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# 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 and set as environment variables (`SYMBLAI_NEBULA_SERVICE_URL`, `SYMBLAI_NEBULA_SERVICE_PATH`, `SYMBLAI_NEBULA_SERVICE_TOKEN`)
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- Sign up for a FREE Symbl.ai/Nebula Account: [https://nebula.symbl.ai/playground/](https://nebula.symbl.ai/playground/)
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- Please see the [Nebula documentation](https://docs.symbl.ai/docs/nebula-llm-overview) 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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## Wrappers
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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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```
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