Add LangChain v1 support

.github/workflows/_compile_integration_test.yml

@@ -20,14 +20,20 @@ jobs:
     strategy:
       matrix:
         python-version:
-          - "3.9"
           - "3.10"
           - "3.11"
           - "3.12"
+          - "3.13"
     name: "poetry run pytest -m compile tests/integration_tests #${{ matrix.python-version }}"
     steps:
       - uses: actions/checkout@v4
 
+      - name: Install system dependencies
+        shell: bash
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y libopenblas-dev liblapack-dev gfortran
+
       - name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
         uses: "./.github/actions/poetry_setup"
         with:

.github/workflows/_lint.yml

@@ -29,11 +29,17 @@ jobs:
         # Starting new jobs is also relatively slow,
         # so linting on fewer versions makes CI faster.
         python-version:
-          - "3.9"
-          - "3.12"
+          - "3.10"
+          - "3.13"
     steps:
       - uses: actions/checkout@v4
 
+      - name: Install system dependencies
+        shell: bash
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y libopenblas-dev liblapack-dev gfortran
+
       - name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
         uses: "./.github/actions/poetry_setup"
         with:

.github/workflows/_test.yml

@@ -20,14 +20,20 @@ jobs:
     strategy:
       matrix:
         python-version:
-          - "3.9"
           - "3.10"
           - "3.11"
           - "3.12"
+          - "3.13"
     name: "make test #${{ matrix.python-version }}"
     steps:
       - uses: actions/checkout@v4
 
+      - name: Install system dependencies
+        shell: bash
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y libopenblas-dev liblapack-dev gfortran
+
       - name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
         uses: "./.github/actions/poetry_setup"
         with:

libs/redis/docs/cache.ipynb

@@ -79,19 +79,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": [
-    "import time\n",
-    "from getpass import getpass\n",
-    "\n",
-    "from langchain.globals import set_llm_cache\n",
-    "from langchain.schema import Generation\n",
-    "from langchain_openai import OpenAI, OpenAIEmbeddings\n",
-    "\n",
-    "from langchain_redis import RedisCache, RedisSemanticCache"
-   ]
+   "source": "import time\nfrom getpass import getpass\n\nfrom langchain_core.globals import set_llm_cache\nfrom langchain_core.outputs import Generation\nfrom langchain_openai import OpenAI, OpenAIEmbeddings\n\nfrom langchain_redis import RedisCache, RedisSemanticCache"
   },
   {
    "cell_type": "markdown",

libs/redis/docs/chat_history.ipynb

@@ -75,15 +75,15 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "import logging\n",
+    "\n",
     "from langchain_core.chat_history import BaseChatMessageHistory\n",
     "from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder\n",
     "from langchain_core.runnables.history import RunnableWithMessageHistory\n",
     "from langchain_openai import ChatOpenAI\n",
     "\n",
     "from langchain_redis import RedisChatMessageHistory\n",
     "\n",
-    "import logging\n",
-    "\n",
     "logging.getLogger('redisvl').setLevel(logging.WARNING)"
    ]
   },

libs/redis/docs/kitchensink.ipynb

@@ -96,17 +96,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": [
-    "from langchain_redis import RedisVectorStore, RedisCache, RedisChatMessageHistory\n",
-    "from langchain_openai import OpenAIEmbeddings, OpenAI\n",
-    "from langchain.globals import set_llm_cache\n",
-    "from langchain_core.prompts import PromptTemplate\n",
-    "from langchain_core.output_parsers import StrOutputParser\n",
-    "import wikipedia"
-   ]
+   "source": "from langchain_redis import RedisVectorStore, RedisCache, RedisChatMessageHistory\nfrom langchain_openai import OpenAIEmbeddings, OpenAI\nfrom langchain_core.globals import set_llm_cache\nfrom langchain_core.prompts import PromptTemplate\nfrom langchain_core.output_parsers import StrOutputParser\nimport wikipedia"
   },
   {
    "cell_type": "markdown",

libs/redis/docs/langchain_v1_migration.md

@@ -0,0 +1,204 @@
+# Migration Guide: LangChain v1.0
+
+## Overview
+
+`langchain-redis` v0.3.0 adds support for LangChain v1.0. This guide helps you migrate your applications to use the latest version.
+
+## What Changed
+
+### Breaking Changes
+
+#### 1. Python Version Requirement
+
+**Minimum Python version is now 3.10+**
+
+- **Python 3.9 is no longer supported** (reaches end-of-life October 2025)
+- **Supported versions**: Python 3.10, 3.11, 3.12, 3.13
+
+**Action Required:**
+- If you're on Python 3.9, upgrade to Python 3.10 or higher
+- If you're on Python 3.10-3.13, no action needed
+
+#### 2. Dependency Updates
+
+**Updated to LangChain v1.0**
+
+```toml
+langchain-core = "^1.0"  # was ^0.3
+```
+
+**Action Required:**
+```bash
+# Update your requirements.txt or pyproject.toml
+pip install --upgrade langchain-redis langchain-core
+
+# Or with poetry
+poetry update langchain-redis langchain-core
+```
+
+## What Did NOT Change
+
+**Good news**: The `langchain-redis` API remains completely unchanged!
+
+All three main components work seamlessly without any code changes:
+
+- ✅ **`RedisVectorStore`** - No changes required
+- ✅ **`RedisCache` / `RedisSemanticCache`** - No changes required
+- ✅ **`RedisChatMessageHistory`** - No changes required
+- ✅ **`RedisConfig`** - No changes required
+
+Your existing code will continue to work as-is after updating dependencies.
+
+## Migration Steps
+
+### Step 1: Check Your Python Version
+
+```bash
+python --version
+```
+
+If you're on Python 3.9, upgrade to 3.10+:
+
+```bash
+# Using pyenv (recommended)
+pyenv install 3.10.15  # or 3.11, 3.12, 3.13
+pyenv global 3.10.15
+
+# Recreate your virtual environment
+python -m venv venv
+source venv/bin/activate  # On Windows: venv\Scripts\activate
+```
+
+### Step 2: Update Dependencies
+
+**Option A: Using pip**
+```bash
+pip install --upgrade langchain-redis langchain-core
+```
+
+**Option B: Using poetry**
+```bash
+# Update pyproject.toml
+# python = ">=3.10,<3.14"
+# langchain-core = "^1.0"
+
+poetry lock
+poetry install
+```
+
+**Option C: Using requirements.txt**
+```txt
+langchain-redis>=0.3.0
+langchain-core>=1.0
+```
+
+### Step 4: Test Your Application
+
+```bash
+# Run your test suite
+pytest tests/
+
+# Verify your application works
+python your_app.py
+```
+
+## Example Migration
+
+### Before (works with both v0.2.x and v0.3.x):
+
+```python
+from langchain.globals import set_llm_cache
+from langchain.schema import Generation
+from langchain_openai import OpenAI
+from langchain_redis import RedisCache
+
+# Initialize cache
+cache = RedisCache(redis_url="redis://localhost:6379")
+set_llm_cache(cache)
+
+# Use as normal
+llm = OpenAI()
+result = llm.invoke("Hello!")
+```
+
+### After (recommended for v0.3.0+):
+
+```python
+# Note that `langchain` became `langchain_core`
+from langchain_core.globals import set_llm_cache
+from langchain_core.outputs import Generation
+from langchain_openai import OpenAI
+from langchain_redis import RedisCache
+
+# Initialize cache (no changes needed)
+cache = RedisCache(redis_url="redis://localhost:6379")
+set_llm_cache(cache)
+
+# Use as normal (no changes needed)
+llm = OpenAI()
+result = llm.invoke("Hello!")
+```
+
+## Troubleshooting
+
+### Issue: Import errors after upgrade
+
+**Symptom:**
+```python
+ImportError: cannot import name 'set_llm_cache' from 'langchain.globals'
+```
+
+**Solution:**
+Update your imports to use `langchain_core.globals`:
+```python
+from langchain_core.globals import set_llm_cache
+```
+
+### Issue: Python version conflict
+
+**Symptom:**
+```
+ERROR: Package 'langchain-redis' requires a different Python: 3.9.x not in '>=3.10,<3.14'
+```
+
+**Solution:**
+Upgrade to Python 3.10 or higher (see Step 1 above).
+
+### Issue: Dependency resolver conflicts
+
+**Symptom:**
+```
+ERROR: Cannot install langchain-redis and langchain-core because these package versions have conflicting dependencies.
+```
+
+**Solution:**
+```bash
+# Clear dependency cache
+pip cache purge
+
+# Install with updated resolver
+pip install --upgrade --force-reinstall langchain-redis langchain-core
+```
+
+## FAQ
+
+### Q: Do I need to change my application code?
+
+**A:** No! The `langchain-redis` API is unchanged. You only need to update dependencies and optionally update import paths for future compatibility.
+
+### Q: What if I can't upgrade from Python 3.9?
+
+**A:** Stay on `langchain-redis` v0.3.x until you can upgrade Python. Python 3.9 reaches end-of-life in October 2025, so we recommend planning your upgrade soon.
+
+### Q: Will my existing Redis data still work?
+
+**A:** Yes! There are no changes to how data is stored in Redis. All existing indices, caches, and chat histories will continue to work.
+
+### Q: Can I use langchain-redis v0.3.0 with langchain-core 0.3.x?
+
+**A:** No, v0.3.0 requires langchain-core ^1.0. If you need to stay on langchain-core 0.3.x, use langchain-redis v0.2.x.
+
+### Q: Are there any performance improvements in v0.3.0?
+
+**A:** The migration to LangChain v1.0 includes upstream performance improvements and bug fixes. `langchain-redis` itself has no performance-related changes in this release.
+

libs/redis/docs/langgraph_self_rag.ipynb

@@ -160,46 +160,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "id": "565a6d44-2c9f-4fff-b1ec-eea05df9350d",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "00:26:48 redisvl.index.index INFO   Index already exists, not overwriting.\n"
-     ]
-    }
-   ],
-   "source": [
-    "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
-    "from langchain_community.document_loaders import WebBaseLoader\n",
-    "from langchain_openai import OpenAIEmbeddings\n",
-    "\n",
-    "from langchain_redis import RedisVectorStore\n",
-    "\n",
-    "urls = [\n",
-    "    \"https://lilianweng.github.io/posts/2023-06-23-agent/\",\n",
-    "    \"https://lilianweng.github.io/posts/2023-03-15-prompt-engineering/\",\n",
-    "    \"https://lilianweng.github.io/posts/2023-10-25-adv-attack-llm/\",\n",
-    "]\n",
-    "\n",
-    "docs = [WebBaseLoader(url).load() for url in urls]\n",
-    "docs_list = [item for sublist in docs for item in sublist]\n",
-    "\n",
-    "text_splitter = RecursiveCharacterTextSplitter.from_tiktoken_encoder(\n",
-    "    chunk_size=250, chunk_overlap=0\n",
-    ")\n",
-    "doc_splits = text_splitter.split_documents(docs_list)\n",
-    "\n",
-    "# Add to vectorDB\n",
-    "vectorstore = RedisVectorStore.from_documents(\n",
-    "    doc_splits, OpenAIEmbeddings(), redis_url=REDIS_URL, index_name=\"rag-redis\"\n",
-    ")\n",
-    "\n",
-    "retriever = vectorstore.as_retriever()"
-   ]
+   "outputs": [],
+   "source": "from langchain_text_splitters import RecursiveCharacterTextSplitter\nfrom langchain_community.document_loaders import WebBaseLoader\nfrom langchain_openai import OpenAIEmbeddings\n\nfrom langchain_redis import RedisVectorStore\n\nurls = [\n    \"https://lilianweng.github.io/posts/2023-06-23-agent/\",\n    \"https://lilianweng.github.io/posts/2023-03-15-prompt-engineering/\",\n    \"https://lilianweng.github.io/posts/2023-10-25-adv-attack-llm/\",\n]\n\ndocs = [WebBaseLoader(url).load() for url in urls]\ndocs_list = [item for sublist in docs for item in sublist]\n\ntext_splitter = RecursiveCharacterTextSplitter.from_tiktoken_encoder(\n    chunk_size=250, chunk_overlap=0\n)\ndoc_splits = text_splitter.split_documents(docs_list)\n\n# Add to vectorDB\nvectorstore = RedisVectorStore.from_documents(\n    doc_splits, OpenAIEmbeddings(), redis_url=REDIS_URL, index_name=\"rag-redis\"\n)\n\nretriever = vectorstore.as_retriever()"
   },
   {
    "cell_type": "markdown",

libs/redis/docs/vectorstores.ipynb

@@ -45,14 +45,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "# ruff: noqa: E501\n",
     "import os\n",
     "\n",
-    "from langchain.docstore.document import Document\n",
+    "from langchain_core.documents import Document\n",
     "from sklearn.datasets import fetch_20newsgroups\n",
     "\n",
     "from langchain_redis import RedisVectorStore"