docs ollama pages (#14561)

added provider page; fixed broken links.

docs/docs/guides/local_llms.ipynb

@@ -69,7 +69,7 @@
     "\n",
     "[`Ollama`](https://ollama.ai/) is one way to easily run inference on macOS.\n",
     " \n",
-    "The instructions [here](docs/integrations/llms/ollama) provide details, which we summarize:\n",
+    "The instructions [here](https://github.com/jmorganca/ollama?tab=readme-ov-file#ollama) provide details, which we summarize:\n",
     " \n",
     "* [Download and run](https://ollama.ai/download) the app\n",
     "* From command line, fetch a model from this [list of options](https://github.com/jmorganca/ollama): e.g., `ollama pull llama2`\n",
@@ -197,10 +197,10 @@
     "\n",
     "### Ollama\n",
     "\n",
-    "With [Ollama](docs/integrations/llms/ollama), fetch a model via `ollama pull <model family>:<tag>`:\n",
+    "With [Ollama](https://github.com/jmorganca/ollama), fetch a model via `ollama pull <model family>:<tag>`:\n",
     "\n",
     "* E.g., for Llama-7b: `ollama pull llama2` will download the most basic version of the model (e.g., smallest # parameters and 4 bit quantization)\n",
-    "* We can also specify a particular version from the [model list](https://github.com/jmorganca/ollama), e.g., `ollama pull llama2:13b`\n",
+    "* We can also specify a particular version from the [model list](https://github.com/jmorganca/ollama?tab=readme-ov-file#model-library), e.g., `ollama pull llama2:13b`\n",
     "* See the full set of parameters on the [API reference page](https://api.python.langchain.com/en/latest/llms/langchain.llms.ollama.Ollama.html)"
    ]
   },
@@ -608,7 +608,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.1"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,

docs/docs/integrations/chat/ollama.ipynb

@@ -533,7 +533,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.16"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,

docs/docs/integrations/llms/ollama.ipynb

@@ -440,7 +440,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.16"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,

docs/docs/integrations/providers/ollama.mdx

@@ -0,0 +1,55 @@
+# Ollama
+
+>[Ollama](https://ollama.ai/) is a python library. It allows you to run open-source large language models, 
+> such as LLaMA2, locally.
+>
+>`Ollama` bundles model weights, configuration, and data into a single package, defined by a Modelfile. 
+>It optimizes setup and configuration details, including GPU usage.
+>For a complete list of supported models and model variants, see the [Ollama model library](https://ollama.ai/library).
+
+See [this guide](https://python.langchain.com/docs/guides/local_llms#quickstart) for more details 
+on how to use `Ollama` with LangChain.
+
+## Installation and Setup
+
+Follow [these instructions](https://github.com/jmorganca/ollama?tab=readme-ov-file#ollama)
+to set up and run a local Ollama instance.
+To use, you should set up the environment variables `ANYSCALE_API_BASE` and
+`ANYSCALE_API_KEY`.
+
+
+## LLM
+
+```python
+from langchain.llms import Ollama
+```
+
+See the notebook example [here](/docs/integrations/llms/ollama).
+
+## Chat Models
+
+### Chat Ollama
+
+```python
+from langchain.chat_models import ChatOllama
+```
+
+See the notebook example [here](/docs/integrations/chat/ollama).
+
+### Ollama functions
+
+```python
+from langchain_experimental.llms.ollama_functions import OllamaFunctions
+```
+
+See the notebook example [here](/docs/integrations/chat/ollama_functions).
+
+## Embedding models
+
+```python
+from langchain.embeddings import OllamaEmbeddings
+```
+
+See the notebook example [here](/docs/integrations/text_embedding/ollama).
+
+

docs/docs/integrations/text_embedding/ollama.ipynb

@@ -215,7 +215,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.10.12"
   },
   "vscode": {
    "interpreter": {