Archives/langchain
2
0
Fork 1
mirror of https://github.com/hwchase17/langchain synced 2024-11-06 03:20:49 +00:00
Code Issues Packages Projects Releases Wiki Activity

updated notebook titles and text.

Browse Source
This commit is contained in:
leo-gan 2023-08-29 11:25:53 -07:00
parent b5cd1e0fed
commit d578efba35
3 changed files with 34 additions and 10 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

17
docs/extras/modules/memory/types/kg.ipynb
View File

@ -5,11 +5,17 @@
"id": "44c9933a",
"metadata": {},
"source": [
"# Conversation Knowledge Graph Memory\n",
"# Conversation Knowledge Graph\n",
"\n",
"This type of memory uses a knowledge graph to recreate memory.\n",
"\n",
"Let's first walk through how to use the utilities"
"This type of memory uses a knowledge graph to recreate memory.\n"
]
},
{
"cell_type": "markdown",
"id": "0c798006-ca04-4de3-83eb-cf167fb2bd01",
"metadata": {},
"source": [
"## Using memory with LLM"
]
},
{
@ -162,6 +168,7 @@
"metadata": {},
"source": [
"## Using in a chain\n",
"\n",
"Let's now use this in a chain!"
]
},
@ -348,7 +355,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.1"
"version": "3.10.12"
}
},
"nbformat": 4,

15
docs/extras/modules/memory/types/summary_buffer.ipynb
View File

@ -5,13 +5,22 @@
"id": "ff4be5f3",
"metadata": {},
"source": [
"# ConversationSummaryBufferMemory\n",
"# Conversation Summary Buffer\n",
"\n",
"`ConversationSummaryBufferMemory` combines the last two ideas. It keeps a buffer of recent interactions in memory, but rather than just completely flushing old interactions it compiles them into a summary and uses both. Unlike the previous implementation though, it uses token length rather than number of interactions to determine when to flush interactions.\n",
"`ConversationSummaryBufferMemory` combines the two ideas. It keeps a buffer of recent interactions in memory, but rather than just completely flushing old interactions it compiles them into a summary and uses both. \n",
"It uses token length rather than number of interactions to determine when to flush interactions.\n",
"\n",
"Let's first walk through how to use the utilities"
]
},
{
"cell_type": "markdown",
"id": "0309636e-a530-4d2a-ba07-0916ea18bb20",
"metadata": {},
"source": [
"## Using memory with LLM"
]
},
{
"cell_type": "code",
"execution_count": 1,
@ -320,7 +329,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.1"
"version": "3.10.12"
}
},
"nbformat": 4,

12
docs/extras/modules/memory/types/token_buffer.ipynb
View File

@ -5,13 +5,21 @@
"id": "ff4be5f3",
"metadata": {},
"source": [
"# ConversationTokenBufferMemory\n",
"# Conversation Token Buffer\n",
"\n",
"`ConversationTokenBufferMemory` keeps a buffer of recent interactions in memory, and uses token length rather than number of interactions to determine when to flush interactions.\n",
"\n",
"Let's first walk through how to use the utilities"
]
},
{
"cell_type": "markdown",
"id": "0e528ef0-7b04-4a4a-8ff2-493c02027e83",
"metadata": {},
"source": [
"## Using memory with LLM"
]
},
{
"cell_type": "code",
"execution_count": 1,
@ -286,7 +294,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.1"
"version": "3.10.12"
}
},
"nbformat": 4,