mirror of
https://github.com/hwchase17/langchain.git
synced 2025-06-01 04:29:09 +00:00
985496f4be
Big docs refactor! Motivation is to make it easier for people to find resources they are looking for. To accomplish this, there are now three main sections: - Getting Started: steps for getting started, walking through most core functionality - Modules: these are different modules of functionality that langchain provides. Each part here has a "getting started", "how to", "key concepts" and "reference" section (except in a few select cases where it didnt easily fit). - Use Cases: this is to separate use cases (like summarization, question answering, evaluation, etc) from the modules, and provide a different entry point to the code base. There is also a full reference section, as well as extra resources (glossary, gallery, etc) Co-authored-by: Shreya Rajpal <ShreyaR@users.noreply.github.com>
15 lines
1.1 KiB
Markdown
15 lines
1.1 KiB
Markdown
# Key Concepts
|
|
|
|
## Memory
|
|
By default, Chains and Agents are stateless, meaning that they treat each incoming query independently.
|
|
In some applications (chatbots being a GREAT example) it is highly important to remember previous interactions,
|
|
both at a short term but also at a long term level. The concept of "Memory" exists to do exactly that.
|
|
|
|
## Conversational Memory
|
|
One of the simpler forms of memory occurs in chatbots, where they remember previous conversations.
|
|
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!
|
|
- 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!
|
|
|