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docs: Update elasticsearch README (#18497)

Browse Source 
Update Elasticsearch README with information on how to start a
deployment.

Also make some cosmetic changes to the [Elasticsearch
docs](https://python.langchain.com/docs/integrations/vectorstores/elasticsearch).

Follow up on https://github.com/langchain-ai/langchain/pull/17467
pull/18663/head
Max Jakob 6 months ago committed by GitHub
parent 6a08134661
commit 81e9ab6e3a
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GPG Key ID: B5690EEEBB952194
4 changed files with 137 additions and 65 deletions
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98
docs/docs/integrations/vectorstores/elasticsearch.ipynb
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@ -21,7 +21,7 @@
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"%pip install --upgrade --quiet langchain-elasticsearch langchain-openai tiktoken langchain" "%pip install --upgrade --quiet langchain-elasticsearch langchain-openai tiktoken langchain"
] ]
}, },
{ {
@ -57,61 +57,61 @@
"Example: Run a single-node Elasticsearch instance with security disabled. This is not recommended for production use.\n", "Example: Run a single-node Elasticsearch instance with security disabled. This is not recommended for production use.\n",
"\n", "\n",
"```bash\n", "```bash\n",
" docker run -p 9200:9200 -e \"discovery.type=single-node\" -e \"xpack.security.enabled=false\" -e \"xpack.security.http.ssl.enabled=false\" docker.elastic.co/elasticsearch/elasticsearch:8.9.0\n", "docker run -p 9200:9200 -e \"discovery.type=single-node\" -e \"xpack.security.enabled=false\" -e \"xpack.security.http.ssl.enabled=false\" docker.elastic.co/elasticsearch/elasticsearch:8.12.1\n",
"```\n", "```\n",
"\n", "\n",
"Once the Elasticsearch instance is running, you can connect to it using the Elasticsearch URL and index name along with the embedding object to the constructor.\n", "Once the Elasticsearch instance is running, you can connect to it using the Elasticsearch URL and index name along with the embedding object to the constructor.\n",
"\n", "\n",
"Example:\n", "Example:\n",
"```python\n", "```python\n",
" from langchain_elasticsearch import ElasticsearchStore\n", "from langchain_elasticsearch import ElasticsearchStore\n",
" from langchain_openai import OpenAIEmbeddings\n", "from langchain_openai import OpenAIEmbeddings\n",
"\n", "\n",
" embedding = OpenAIEmbeddings()\n", "embedding = OpenAIEmbeddings()\n",
" elastic_vector_search = ElasticsearchStore(\n", "elastic_vector_search = ElasticsearchStore(\n",
" es_url=\"http://localhost:9200\",\n", " es_url=\"http://localhost:9200\",\n",
" index_name=\"test_index\",\n", " index_name=\"test_index\",\n",
" embedding=embedding\n", " embedding=embedding\n",
" )\n", ")\n",
"```\n", "```\n",
"### Authentication\n", "### Authentication\n",
"For production, we recommend you run with security enabled. To connect with login credentials, you can use the parameters `es_api_key` or `es_user` and `es_password`.\n", "For production, we recommend you run with security enabled. To connect with login credentials, you can use the parameters `es_api_key` or `es_user` and `es_password`.\n",
"\n", "\n",
"Example:\n", "Example:\n",
"```python\n", "```python\n",
" from langchain_elasticsearch import ElasticsearchStore\n", "from langchain_elasticsearch import ElasticsearchStore\n",
" from langchain_openai import OpenAIEmbeddings\n", "from langchain_openai import OpenAIEmbeddings\n",
"\n", "\n",
" embedding = OpenAIEmbeddings()\n", "embedding = OpenAIEmbeddings()\n",
" elastic_vector_search = ElasticsearchStore(\n", "elastic_vector_search = ElasticsearchStore(\n",
" es_url=\"http://localhost:9200\",\n", " es_url=\"http://localhost:9200\",\n",
" index_name=\"test_index\",\n", " index_name=\"test_index\",\n",
" embedding=embedding,\n", " embedding=embedding,\n",
" es_user=\"elastic\",\n", " es_user=\"elastic\",\n",
" es_password=\"changeme\"\n", " es_password=\"changeme\"\n",
" )\n", ")\n",
"```\n", "```\n",
"\n", "\n",
"You can also use an `Elasticsearch` client object that gives you more flexibility, for example to configure the maximum number of retries.\n", "You can also use an `Elasticsearch` client object that gives you more flexibility, for example to configure the maximum number of retries.\n",
"\n", "\n",
"Example:\n", "Example:\n",
"```python\n", "```python\n",
" import elasticsearch\n", "import elasticsearch\n",
" from langchain_elasticsearch import ElasticsearchStore\n", "from langchain_elasticsearch import ElasticsearchStore\n",
"\n", "\n",
" es_client= elasticsearch.Elasticsearch(\n", "es_client= elasticsearch.Elasticsearch(\n",
" hosts=[\"http://localhost:9200\"],\n", " hosts=[\"http://localhost:9200\"],\n",
" es_user=\"elastic\",\n", " es_user=\"elastic\",\n",
" es_password=\"changeme\"\n", " es_password=\"changeme\"\n",
" max_retries=10,\n", " max_retries=10,\n",
" )\n", ")\n",
"\n", "\n",
" embedding = OpenAIEmbeddings()\n", "embedding = OpenAIEmbeddings()\n",
" elastic_vector_search = ElasticsearchStore(\n", "elastic_vector_search = ElasticsearchStore(\n",
" index_name=\"test_index\",\n", " index_name=\"test_index\",\n",
" es_connection=es_client,\n", " es_connection=es_client,\n",
" embedding=embedding,\n", " embedding=embedding,\n",
" )\n", ")\n",
"```\n", "```\n",
"\n", "\n",
"#### How to obtain a password for the default \"elastic\" user?\n", "#### How to obtain a password for the default \"elastic\" user?\n",
@ -137,17 +137,17 @@
"\n", "\n",
"Example:\n", "Example:\n",
"```python\n", "```python\n",
" from langchain_elasticsearch import ElasticsearchStore\n", "from langchain_elasticsearch import ElasticsearchStore\n",
" from langchain_openai import OpenAIEmbeddings\n", "from langchain_openai import OpenAIEmbeddings\n",
"\n", "\n",
" embedding = OpenAIEmbeddings()\n", "embedding = OpenAIEmbeddings()\n",
" elastic_vector_search = ElasticsearchStore(\n", "elastic_vector_search = ElasticsearchStore(\n",
" es_cloud_id=\"<cloud_id>\",\n", " es_cloud_id=\"<cloud_id>\",\n",
" index_name=\"test_index\",\n", " index_name=\"test_index\",\n",
" embedding=embedding,\n", " embedding=embedding,\n",
" es_user=\"elastic\",\n", " es_user=\"elastic\",\n",
" es_password=\"changeme\"\n", " es_password=\"changeme\"\n",
" )\n", ")\n",
"```" "```"
] ]
}, },

58
libs/partners/elasticsearch/README.md
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@ -8,16 +8,38 @@ This package contains the LangChain integration with Elasticsearch.
pip install -U langchain-elasticsearch pip install -U langchain-elasticsearch
``` ```
TODO document how to get id and key ## Elasticsearch setup
### Elastic Cloud
You need a running Elasticsearch deployment. The easiest way to start one is through [Elastic Cloud](https://cloud.elastic.co/).
You can sign up for a [free trial](https://www.elastic.co/cloud/cloud-trial-overview).
1. [Create a deployment](https://www.elastic.co/guide/en/cloud/current/ec-create-deployment.html)
2. Get your Cloud ID:
1. In the [Elastic Cloud console](https://cloud.elastic.co), click "Manage" next to your deployment
2. Copy the Cloud ID and paste it into the `es_cloud_id` parameter below
3. Create an API key:
1. In the [Elastic Cloud console](https://cloud.elastic.co), click "Open" next to your deployment
2. In the left-hand side menu, go to "Stack Management", then to "API Keys"
3. Click "Create API key"
4. Enter a name for the API key and click "Create"
5. Copy the API key and paste it into the `es_api_key` parameter below
### Elastic Cloud
Alternatively, you can run Elasticsearch via Docker as described in the [docs](https://python.langchain.com/docs/integrations/vectorstores/elasticsearch).
## Usage ## Usage
The `ElasticsearchStore` class exposes the connection to the Pinecone vector store. ### ElasticsearchStore
The `ElasticsearchStore` class exposes Elasticsearch as a vector store.
```python ```python
from langchain_elasticsearch import ElasticsearchStore from langchain_elasticsearch import ElasticsearchStore
embeddings = ... # use a LangChain Embeddings class embeddings = ... # use a LangChain Embeddings class or ElasticsearchEmbeddings
vectorstore = ElasticsearchStore( vectorstore = ElasticsearchStore(
es_cloud_id="your-cloud-id", es_cloud_id="your-cloud-id",
@ -27,3 +49,33 @@ vectorstore = ElasticsearchStore(
) )
``` ```
### ElasticsearchEmbeddings
The `ElasticsearchEmbeddings` class provides an interface to generate embeddings using a model
deployed in an Elasticsearch cluster.
```python
from langchain_elasticsearch import ElasticsearchEmbeddings
embeddings = ElasticsearchEmbeddings.from_credentials(
model_id="your-model-id",
input_field="your-input-field",
es_cloud_id="your-cloud-id",
es_api_key="your-api-key",
)
```
### ElasticsearchChatMessageHistory
The `ElasticsearchChatMessageHistory` class stores chat histories in Elasticsearch.
```python
from langchain_elasticsearch import ElasticsearchChatMessageHistory
chat_history = ElasticsearchChatMessageHistory(
index="your-index-name",
session_id="your-session-id",
es_cloud_id="your-cloud-id",
es_api_key="your-api-key",
)
```

45
libs/partners/elasticsearch/poetry.lock generated
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@ -599,7 +599,7 @@ files = [
[[package]] [[package]]
name = "langchain" name = "langchain"
version = "0.1.9" version = "0.1.10"
description = "Building applications with LLMs through composability" description = "Building applications with LLMs through composability"
optional = false optional = false
python-versions = ">=3.8.1,<4.0" python-versions = ">=3.8.1,<4.0"
@ -611,9 +611,10 @@ aiohttp = "^3.8.3"
async-timeout = {version = "^4.0.0", markers = "python_version < \"3.11\""} async-timeout = {version = "^4.0.0", markers = "python_version < \"3.11\""}
dataclasses-json = ">= 0.5.7, < 0.7" dataclasses-json = ">= 0.5.7, < 0.7"
jsonpatch = "^1.33" jsonpatch = "^1.33"
langchain-community = ">=0.0.21,<0.1" langchain-community = ">=0.0.25,<0.1"
langchain-core = ">=0.1.26,<0.2" langchain-core = ">=0.1.28,<0.2"
langsmith = "^0.1.0" langchain-text-splitters = ">=0.0.1,<0.1"
langsmith = "^0.1.14"
numpy = "^1" numpy = "^1"
pydantic = ">=1,<3" pydantic = ">=1,<3"
PyYAML = ">=5.3" PyYAML = ">=5.3"
@ -623,7 +624,7 @@ tenacity = "^8.1.0"
[package.extras] [package.extras]
all = [] all = []
azure = ["azure-ai-formrecognizer (>=3.2.1,<4.0.0)", "azure-ai-textanalytics (>=5.3.0,<6.0.0)", "azure-ai-vision (>=0.11.1b1,<0.12.0)", "azure-cognitiveservices-speech (>=1.28.0,<2.0.0)", "azure-core (>=1.26.4,<2.0.0)", "azure-cosmos (>=4.4.0b1,<5.0.0)", "azure-identity (>=1.12.0,<2.0.0)", "azure-search-documents (==11.4.0b8)", "openai (<2)"] azure = ["azure-ai-formrecognizer (>=3.2.1,<4.0.0)", "azure-ai-textanalytics (>=5.3.0,<6.0.0)", "azure-cognitiveservices-speech (>=1.28.0,<2.0.0)", "azure-core (>=1.26.4,<2.0.0)", "azure-cosmos (>=4.4.0b1,<5.0.0)", "azure-identity (>=1.12.0,<2.0.0)", "azure-search-documents (==11.4.0b8)", "openai (<2)"]
clarifai = ["clarifai (>=9.1.0)"] clarifai = ["clarifai (>=9.1.0)"]
cli = ["typer (>=0.9.0,<0.10.0)"] cli = ["typer (>=0.9.0,<0.10.0)"]
cohere = ["cohere (>=4,<5)"] cohere = ["cohere (>=4,<5)"]
@ -642,7 +643,7 @@ url = "../../langchain"
[[package]] [[package]]
name = "langchain-community" name = "langchain-community"
version = "0.0.24" version = "0.0.25"
description = "Community contributed LangChain integrations." description = "Community contributed LangChain integrations."
optional = false optional = false
python-versions = ">=3.8.1,<4.0" python-versions = ">=3.8.1,<4.0"
@ -652,7 +653,7 @@ develop = true
[package.dependencies] [package.dependencies]
aiohttp = "^3.8.3" aiohttp = "^3.8.3"
dataclasses-json = ">= 0.5.7, < 0.7" dataclasses-json = ">= 0.5.7, < 0.7"
langchain-core = ">=0.1.26,<0.2" langchain-core = "^0.1.28"
langsmith = "^0.1.0" langsmith = "^0.1.0"
numpy = "^1" numpy = "^1"
PyYAML = ">=5.3" PyYAML = ">=5.3"
@ -670,7 +671,7 @@ url = "../../community"
[[package]] [[package]]
name = "langchain-core" name = "langchain-core"
version = "0.1.26" version = "0.1.28"
description = "Building applications with LLMs through composability" description = "Building applications with LLMs through composability"
optional = false optional = false
python-versions = ">=3.8.1,<4.0" python-versions = ">=3.8.1,<4.0"
@ -694,15 +695,34 @@ extended-testing = ["jinja2 (>=3,<4)"]
type = "directory" type = "directory"
url = "../../core" url = "../../core"
[[package]]
name = "langchain-text-splitters"
version = "0.0.1"
description = "LangChain text splitting utilities"
optional = false
python-versions = ">=3.8.1,<4.0"
files = []
develop = true
[package.dependencies]
langchain-core = "^0.1.28"
[package.extras]
extended-testing = ["lxml (>=5.1.0,<6.0.0)"]
[package.source]
type = "directory"
url = "../../text-splitters"
[[package]] [[package]]
name = "langsmith" name = "langsmith"
version = "0.1.9" version = "0.1.14"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform." description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false optional = false
python-versions = ">=3.8.1,<4.0" python-versions = ">=3.8.1,<4.0"
files = [ files = [
{file = "langsmith-0.1.9-py3-none-any.whl", hash = "sha256:f821b3cb07a87eac5cb2181ff0b61051811e4eef09ae4b46e700981f7ae5dfb9"}, {file = "langsmith-0.1.14-py3-none-any.whl", hash = "sha256:ecb243057d2a43c2da0524fe395585bc3421bb5d24f1cdd53eb06fbe63e43a69"},
{file = "langsmith-0.1.9.tar.gz", hash = "sha256:9bd3e80607722c3d2db84cf3440005491a859b80b5e499bc988032d5c2da91f0"}, {file = "langsmith-0.1.14.tar.gz", hash = "sha256:b95f267d25681f4c9862bb68236fba8a57a60ec7921ecfdaa125936807e51bde"},
] ]
[package.dependencies] [package.dependencies]
@ -1232,7 +1252,6 @@ files = [
{file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"}, {file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"},
{file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"}, {file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"},
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{file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef"},
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{file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"}, {file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"},
{file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"}, {file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"},
@ -1652,4 +1671,4 @@ multidict = ">=4.0"
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = ">=3.8.1,<4.0" python-versions = ">=3.8.1,<4.0"
content-hash = "2d6d655d583bada95d7c62a5ef37080eff99819e7ca02c9c75f73de3e59e0aff" content-hash = "7521bf553cf55c1883bcf93e79103bc6136ccba901bb8277af24f1539d8c8bce"

1
libs/partners/elasticsearch/pyproject.toml
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@ -29,6 +29,7 @@ pytest-asyncio = "^0.21.1"
langchain = { path = "../../langchain", develop = true } langchain = { path = "../../langchain", develop = true }
langchain-community = { path = "../../community", develop = true } langchain-community = { path = "../../community", develop = true }
langchain-core = { path = "../../core", develop = true } langchain-core = { path = "../../core", develop = true }
langchain-text-splitters = {path = "../../text-splitters", develop = true}
[tool.poetry.group.codespell] [tool.poetry.group.codespell]
optional = true optional = true

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