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Merge pull request #15 from hwchase17/harrison/make-suitable-for-build
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Harrison/make suitable for build
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hwchase17 authored Oct 22, 2022
2 parents 8626e37 + 1f5eb56 commit be7f03c
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2 changes: 2 additions & 0 deletions MANIFEST.in
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include langchain/VERSION
include LICENSE
6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -30,7 +30,7 @@ This project was largely inspired by a few projects seen on Twitter for which we

**[Self-ask-with-search](https://ofir.io/self-ask.pdf)**

To recreate this paper, use the following code snippet or checkout the [example notebook](examples/self_ask_with_search.ipynb).
To recreate this paper, use the following code snippet or checkout the [example notebook](https://github.com/hwchase17/langchain/blob/master/examples/self_ask_with_search.ipynb).

```
from langchain import SelfAskWithSearchChain, OpenAI, SerpAPIChain
Expand All @@ -45,7 +45,7 @@ self_ask_with_search.run("What is the hometown of the reigning men's U.S. Open c

**[LLM Math](https://twitter.com/amasad/status/1568824744367259648?s=20&t=-7wxpXBJinPgDuyHLouP1w)**

To recreate this example, use the following code snippet or check out the [example notebook](examples/llm_math.ipynb).
To recreate this example, use the following code snippet or check out the [example notebook](https://github.com/hwchase17/langchain/blob/master/examples/llm_math.ipynb).

```
from langchain import OpenAI, LLMMathChain
Expand All @@ -58,7 +58,7 @@ llm_math.run("How many of the integers between 0 and 99 inclusive are divisible

**Generic Prompting**

You can also use this for simple prompting pipelines, as in the below example and this [example notebook](examples/simple_prompts.ipynb).
You can also use this for simple prompting pipelines, as in the below example and this [example notebook](https://github.com/hwchase17/langchain/blob/master/examples/simple_prompts.ipynb).

```
from langchain import Prompt, OpenAI, LLMChain
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2 changes: 2 additions & 0 deletions setup.py
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long_description=long_description,
license="MIT",
url="https://github.com/hwchase17/langchain",
include_package_data=True,
long_description_content_type="text/markdown",
)

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