Merge branch 'master' into dev2049/fmt_nbs

docs/ecosystem/comet_tracking.ipynb

@@ -1,7 +1,6 @@
 {
  "cells": [
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -9,7 +8,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -17,7 +15,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -31,7 +28,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -39,7 +35,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -52,14 +47,13 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!pip install comet_ml\n",
-    "!pip install langchain\n",
-    "!pip install openai\n",
-    "!pip install google-search-results"
+    "%pip install comet_ml langchain openai google-search-results spacy textstat pandas\n",
+    "\n",
+    "import sys\n",
+    "!{sys.executable} -m spacy download en_core_web_sm"
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -67,7 +61,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -86,7 +79,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -94,7 +86,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -109,12 +100,12 @@
    "source": [
     "import os\n",
     "\n",
-    "%env OPENAI_API_KEY=\"...\"\n",
-    "%env SERPAPI_API_KEY=\"...\""
+    "os.environ[\"OPENAI_API_KEY\"] = \"...\"\n",
+    "#os.environ[\"OPENAI_ORGANIZATION\"] = \"...\"\n",
+    "os.environ[\"SERPAPI_API_KEY\"] = \"...\""
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -149,7 +140,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -185,12 +175,11 @@
     "synopsis_chain = LLMChain(llm=llm, prompt=prompt_template, callback_manager=manager)\n",
     "\n",
     "test_prompts = [{\"title\": \"Documentary about Bigfoot in Paris\"}]\n",
-    "synopsis_chain.apply(test_prompts)\n",
+    "print(synopsis_chain.apply(test_prompts))\n",
     "comet_callback.flush_tracker(synopsis_chain, finish=True)"
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -232,7 +221,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -240,7 +228,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -256,7 +243,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!pip install rouge-score"
+    "%pip install rouge-score"
    ]
   },
   {
@@ -336,16 +323,29 @@
     "                 \"\"\"\n",
     "    }\n",
     "]\n",
-    "synopsis_chain.apply(test_prompts)\n",
+    "print(synopsis_chain.apply(test_prompts))\n",
     "comet_callback.flush_tracker(synopsis_chain, finish=True)"
    ]
   }
  ],
  "metadata": {
-  "language_info": {
-   "name": "python"
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
   },
-  "orig_nbformat": 4
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.15"
+  }
  },
  "nbformat": 4,
  "nbformat_minor": 2

docs/modules/indexes/getting_started.ipynb

@@ -101,7 +101,7 @@
    "source": [
     "from langchain.document_loaders import TextLoader\n",
     "\n",
-    "loader = TextLoader(\"../state_of_the_union.txt\")"
+    "loader = TextLoader(\"../state_of_the_union.txt\", encoding='utf8')"
    ]
   },
   {

docs/modules/memory/examples/agent_with_memory_in_db.ipynb

@@ -16,7 +16,7 @@
     "In order to add a memory with an external message store to an agent we are going to do the following steps:\n",
     "\n",
     "1. We are going to create a `RedisChatMessageHistory` to connect to an external database to store the messages in.\n",
-    "2. We are going to create an `LLMChain` useing that chat history as memory.\n",
+    "2. We are going to create an `LLMChain` using that chat history as memory.\n",
     "3. We are going to use that `LLMChain` to create a custom Agent.\n",
     "\n",
     "For the purposes of this exercise, we are going to create a simple custom Agent that has access to a search tool and utilizes the `ConversationBufferMemory` class."

docs/modules/models/chat/integrations/promptlayer_chatopenai.ipynb

@@ -115,7 +115,7 @@
    "id": "a2d76826",
    "metadata": {},
    "source": [
-    "**The above request should now appear on your [PromptLayer dashboard](https://ww.promptlayer.com).**"
+    "**The above request should now appear on your [PromptLayer dashboard](https://www.promptlayer.com).**"
    ]
   },
   {

docs/use_cases/code.md

@@ -23,3 +23,4 @@ Query Understanding: GPT-4 processes user queries, grasping the context and extr
 
 The full tutorial is available below.
 - [Twitter the-algorithm codebase analysis with Deep Lake](code/twitter-the-algorithm-analysis-deeplake.ipynb): A notebook walking through how to parse github source code and run queries conversation.
+- [LangChain codebase analysis with Deep Lake](code/code-analysis-deeplake.ipynb): A notebook walking through how to analyze and do question answering over THIS code base.