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[DOCS] Assorted wording, punctuation, and consistency revisions (#1443)

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Contributing some small fixes I noticed while reading through the
documentation.

Thank you for a creating and maintaining this project!
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docs/ecosystem/atlas.md
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# AtlasDB # AtlasDB
This page covers how to Nomic's Atlas ecosystem within LangChain. This page covers how to use Nomic's Atlas ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific Atlas wrappers. It is broken into two parts: installation and setup, and then references to specific Atlas wrappers.
## Installation and Setup ## Installation and Setup
- Install the Python package with `pip install nomic` - Install the Python package with `pip install nomic`
- Nomic is also included in langchains poetry extras `poetry install -E all` - Nomic is also included in langchains poetry extras `poetry install -E all`
-
## Wrappers ## Wrappers
### VectorStore ### VectorStore

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docs/ecosystem/bananadev.md
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## Installation and Setup ## Installation and Setup
- Install with `pip3 install banana-dev` - Install with `pip install banana-dev`
- Get an Banana api key and set it as an environment variable (`BANANA_API_KEY`) - Get an Banana api key and set it as an environment variable (`BANANA_API_KEY`)
## Define your Banana Template ## Define your Banana Template

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docs/ecosystem/graphsignal.md
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# Graphsignal # Graphsignal
This page covers how to use the Graphsignal to trace and monitor LangChain. This page covers how to use the Graphsignal ecosystem to trace and monitor LangChain.
## Installation and Setup ## Installation and Setup

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docs/ecosystem/helicone.md
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# Helicone # Helicone
This page covers how to use the [Helicone](https://helicone.ai) within LangChain. This page covers how to use the [Helicone](https://helicone.ai) ecosystem within LangChain.
## What is Helicone? ## What is Helicone?

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docs/modules/memory/key_concepts.md
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There are a few different ways to accomplish this: There are a few different ways to accomplish this:
- Buffer: This is just passing in the past `N` interactions in as context. `N` can be chosen based on a fixed number, the length of the interactions, or other! - Buffer: This is just passing in the past `N` interactions in as context. `N` can be chosen based on a fixed number, the length of the interactions, or other!
- Summary: This involves summarizing previous conversations and passing that summary in, instead of the raw dialouge itself. Compared to `Buffer`, this compresses information: meaning it is more lossy, but also less likely to run into context length limits. - Summary: This involves summarizing previous conversations and passing that summary in, instead of the raw dialouge itself. Compared to `Buffer`, this compresses information: meaning it is more lossy, but also less likely to run into context length limits.
- Combination: A combination of the above two approaches, where you compute a summary but also pass in some previous interfactions directly! - Combination: A combination of the above two approaches, where you compute a summary but also pass in some previous interactions directly!
## Entity Memory ## Entity Memory
A more complex form of memory is remembering information about specific entities in the conversation. A more complex form of memory is remembering information about specific entities in the conversation.