forked from Archives/langchain
Hx23840 feat/add redisearch vectorstore (#1909)
Co-authored-by: Peter <peter.shi@alephf.com> Co-authored-by: Peter Shi <42536066+hx23840@users.noreply.github.com>
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@ -8,10 +8,7 @@
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"This notebook shows how to use functionality related to the Redis database."
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],
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%% md\n"
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}
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{
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@ -24,10 +21,7 @@
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"from langchain.vectorstores.redis import Redis"
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],
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"metadata": {
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"name": "#%%\n"
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}
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{
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@ -44,10 +38,7 @@
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"embeddings = OpenAIEmbeddings()"
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],
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"metadata": {
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@ -55,13 +46,10 @@
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"execution_count": 4,
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"outputs": [],
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"source": [
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"rds = Redis.from_documents(docs, embeddings,redis_url=\"redis://localhost:6379\")"
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"rds = Redis.from_documents(docs, embeddings, redis_url=\"redis://localhost:6379\", index_name='link')"
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],
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@ -81,10 +69,14 @@
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"rds.index_name"
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],
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"metadata": {
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"name": "#%%\n"
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},
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{
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"cell_type": "markdown",
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"source": [],
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"metadata": {
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"collapsed": false
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}
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@ -115,10 +107,7 @@
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"print(results[0].page_content)"
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],
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}
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{
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@ -137,10 +126,7 @@
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"print(rds.add_texts([\"Ankush went to Princeton\"]))"
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],
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"metadata": {
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"collapsed": false,
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"name": "#%%\n"
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@ -161,22 +147,23 @@
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"print(results[0].page_content)"
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],
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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"collapsed": false
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}
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"outputs": [],
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"source": [],
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"source": [
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"#Query\n",
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"rds = Redis.from_existing_index(embeddings, redis_url=\"redis://localhost:6379\", index_name='link')\n",
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"\n",
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"query = \"What did the president say about Ketanji Brown Jackson\"\n",
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"results = rds.similarity_search(query)\n",
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"print(results[0].page_content)"
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],
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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"collapsed": false
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}
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}
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],
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@ -250,7 +250,6 @@ class Redis(VectorStore):
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client = redis.from_url(url=redis_url, **kwargs)
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except ValueError as e:
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raise ValueError(f"Your redis connected error: {e}")
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# Check if index exists
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try:
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client.ft(index_name).dropindex(delete_documents)
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@ -259,3 +258,35 @@ class Redis(VectorStore):
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except: # noqa
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# Index not exist
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return False
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@classmethod
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def from_existing_index(
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cls,
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embedding: Embeddings,
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index_name: str,
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**kwargs: Any,
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) -> Redis:
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redis_url = get_from_dict_or_env(kwargs, "redis_url", "REDIS_URL")
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try:
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import redis
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except ImportError:
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raise ValueError(
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"Could not import redis python package. "
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"Please install it with `pip install redis`."
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)
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try:
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# We need to first remove redis_url from kwargs,
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# otherwise passing it to Redis will result in an error.
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kwargs.pop("redis_url")
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client = redis.from_url(url=redis_url, **kwargs)
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except ValueError as e:
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raise ValueError(f"Your redis connected error: {e}")
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# check if redis add redisearch module
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if not _check_redis_module_exist(client, "search"):
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raise ValueError(
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"Could not use redis directly, you need to add search module"
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"Please refer [RediSearch](https://redis.io/docs/stack/search/quick_start/)" # noqa
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)
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return cls(redis_url, index_name, embedding.embed_query)
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