From 50626a10ee5b4cf2b7f7f0463e0edbb8233945d0 Mon Sep 17 00:00:00 2001
From: Harrison Chase <hw.chase.17@gmail.com>
Date: Wed, 22 Mar 2023 19:57:56 -0700
Subject: [PATCH] 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>
---
 .../indexes/vectorstore_examples/redis.ipynb  | 65 ++++++++-----------
 langchain/vectorstores/redis.py               | 33 +++++++++-
 2 files changed, 58 insertions(+), 40 deletions(-)

diff --git a/docs/modules/indexes/vectorstore_examples/redis.ipynb b/docs/modules/indexes/vectorstore_examples/redis.ipynb
index 75bad037f3..385ba0b7b6 100644
--- a/docs/modules/indexes/vectorstore_examples/redis.ipynb
+++ b/docs/modules/indexes/vectorstore_examples/redis.ipynb
@@ -8,10 +8,7 @@
     "This notebook shows how to use functionality related to the Redis database."
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -24,10 +21,7 @@
     "from langchain.vectorstores.redis import Redis"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -44,10 +38,7 @@
     "embeddings = OpenAIEmbeddings()"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -55,13 +46,10 @@
    "execution_count": 4,
    "outputs": [],
    "source": [
-    "rds = Redis.from_documents(docs, embeddings,redis_url=\"redis://localhost:6379\")"
+    "rds = Redis.from_documents(docs, embeddings, redis_url=\"redis://localhost:6379\",  index_name='link')"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -81,10 +69,14 @@
     "rds.index_name"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [],
+   "metadata": {
+    "collapsed": false
    }
   },
   {
@@ -115,10 +107,7 @@
     "print(results[0].page_content)"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -137,10 +126,7 @@
     "print(rds.add_texts([\"Ankush went to Princeton\"]))"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -161,22 +147,23 @@
     "print(results[0].page_content)"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "outputs": [],
-   "source": [],
+   "source": [
+    "#Query\n",
+    "rds = Redis.from_existing_index(embeddings, redis_url=\"redis://localhost:6379\", index_name='link')\n",
+    "\n",
+    "query = \"What did the president say about Ketanji Brown Jackson\"\n",
+    "results = rds.similarity_search(query)\n",
+    "print(results[0].page_content)"
+   ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   }
  ],
@@ -201,4 +188,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 0
-}
\ No newline at end of file
+}
diff --git a/langchain/vectorstores/redis.py b/langchain/vectorstores/redis.py
index d851c69ca4..1729ebff8c 100644
--- a/langchain/vectorstores/redis.py
+++ b/langchain/vectorstores/redis.py
@@ -250,7 +250,6 @@ class Redis(VectorStore):
             client = redis.from_url(url=redis_url, **kwargs)
         except ValueError as e:
             raise ValueError(f"Your redis connected error: {e}")
-
         # Check if index exists
         try:
             client.ft(index_name).dropindex(delete_documents)
@@ -259,3 +258,35 @@ class Redis(VectorStore):
         except:  # noqa
             # Index not exist
             return False
+
+    @classmethod
+    def from_existing_index(
+        cls,
+        embedding: Embeddings,
+        index_name: str,
+        **kwargs: Any,
+    ) -> Redis:
+        redis_url = get_from_dict_or_env(kwargs, "redis_url", "REDIS_URL")
+        try:
+            import redis
+        except ImportError:
+            raise ValueError(
+                "Could not import redis python package. "
+                "Please install it with `pip install redis`."
+            )
+        try:
+            # We need to first remove redis_url from kwargs,
+            # otherwise passing it to Redis will result in an error.
+            kwargs.pop("redis_url")
+            client = redis.from_url(url=redis_url, **kwargs)
+        except ValueError as e:
+            raise ValueError(f"Your redis connected error: {e}")
+
+        # check if redis add redisearch module
+        if not _check_redis_module_exist(client, "search"):
+            raise ValueError(
+                "Could not use redis directly, you need to add search module"
+                "Please refer [RediSearch](https://redis.io/docs/stack/search/quick_start/)"  # noqa
+            )
+
+        return cls(redis_url, index_name, embedding.embed_query)