diff --git a/.gitignore b/.gitignore
index 10841f1..be3857c 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,2 +1,4 @@
 .pytest*
 __pycache__
+
+.streamlit
diff --git a/README.md b/README.md
index 3a98464..b221745 100644
--- a/README.md
+++ b/README.md
@@ -2,11 +2,12 @@
 
 A couple of AI demo applications built with [Streamlit](https://streamlit.io/):
 
-[chat.py](./streamlit_examples/chat.py) - Let's the user upload PDF documents and chat with them using LlamaIndex. Supports multiple users and streaming.
+- [chat.py](./streamlit_examples/chat.py) - Let's the user upload PDF documents and chat with them using LlamaIndex. Supports multiple users and streaming.
+- [wiki_search.py](./streamlit_examples/wiki_search.py) - Semantic search over Wikipedia articles using [Weaviate](https://weaviate.io/). Search results are summarized using Cohere. Needs a [Cohere API Key](https://dashboard.cohere.com/api-keys).
 
 ## Getting Started
 
-This project is using poetry for dependency management. To install the dependencies, and setup the environment, run the following commands:
+This project uses poetry for dependency management. To install the dependencies and set up the environment, run the following commands:
 
 ```bash
 # poetry install
@@ -18,4 +19,3 @@ You can then run any of the examples by running:
 ```bash
 # streamlit run streamlit_examples/chat.py
 ```
-
diff --git a/poetry.lock b/poetry.lock
index 262612a..2947b48 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -167,6 +167,27 @@ files = [
     {file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
 ]
 
+[[package]]
+name = "atlassian-python-api"
+version = "3.41.2"
+description = "Python Atlassian REST API Wrapper"
+optional = false
+python-versions = "*"
+files = [
+    {file = "atlassian-python-api-3.41.2.tar.gz", hash = "sha256:a2022977da5a395412ace8e29c2c541312f07d45fc750435dec036af53daceda"},
+    {file = "atlassian_python_api-3.41.2-py3-none-any.whl", hash = "sha256:27c2361a22ee8cc69988f67a591488cbfce09e5f284da000011af11944d2bc96"},
+]
+
+[package.dependencies]
+deprecated = "*"
+oauthlib = "*"
+requests = "*"
+requests-oauthlib = "*"
+six = "*"
+
+[package.extras]
+kerberos = ["requests-kerberos"]
+
 [[package]]
 name = "attrs"
 version = "23.1.0"
@@ -185,6 +206,20 @@ docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-
 tests = ["attrs[tests-no-zope]", "zope-interface"]
 tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 
+[[package]]
+name = "authlib"
+version = "1.2.1"
+description = "The ultimate Python library in building OAuth and OpenID Connect servers and clients."
+optional = false
+python-versions = "*"
+files = [
+    {file = "Authlib-1.2.1-py2.py3-none-any.whl", hash = "sha256:c88984ea00149a90e3537c964327da930779afa4564e354edfd98410bea01911"},
+    {file = "Authlib-1.2.1.tar.gz", hash = "sha256:421f7c6b468d907ca2d9afede256f068f87e34d23dd221c07d13d4c234726afb"},
+]
+
+[package.dependencies]
+cryptography = ">=3.2"
+
 [[package]]
 name = "autoflake"
 version = "2.2.1"
@@ -199,6 +234,17 @@ files = [
 [package.dependencies]
 pyflakes = ">=3.0.0"
 
+[[package]]
+name = "backoff"
+version = "2.2.1"
+description = "Function decoration for backoff and retry"
+optional = false
+python-versions = ">=3.7,<4.0"
+files = [
+    {file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"},
+    {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
+]
+
 [[package]]
 name = "beautifulsoup4"
 version = "4.12.2"
@@ -294,6 +340,82 @@ files = [
     {file = "certifi-2023.7.22.tar.gz", hash = "sha256:539cc1d13202e33ca466e88b2807e29f4c13049d6d87031a3c110744495cb082"},
 ]
 
+[[package]]
+name = "cffi"
+version = "1.15.1"
+description = "Foreign Function Interface for Python calling C code."
+optional = false
+python-versions = "*"
+files = [
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+]
+
+[package.dependencies]
+pycparser = "*"
+
 [[package]]
 name = "charset-normalizer"
 version = "3.2.0"
@@ -392,6 +514,25 @@ files = [
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
+[[package]]
+name = "cohere"
+version = "4.26"
+description = ""
+optional = false
+python-versions = ">=3.7,<4.0"
+files = [
+    {file = "cohere-4.26-py3-none-any.whl", hash = "sha256:e8c9a9e099c0d45bfc02ef28e36ab6ea497bd124e36ab1d96136deb214c8cc7b"},
+    {file = "cohere-4.26.tar.gz", hash = "sha256:034348fca0ce1e81cdd80c265099e993163e5b71273328af891999c76c5696b8"},
+]
+
+[package.dependencies]
+aiohttp = ">=3.0,<4.0"
+backoff = ">=2.0,<3.0"
+fastavro = {version = "1.8.2", markers = "python_version >= \"3.8\""}
+importlib_metadata = ">=6.0,<7.0"
+requests = ">=2.25.0,<3.0.0"
+urllib3 = ">=1.26,<3"
+
 [[package]]
 name = "colorama"
 version = "0.4.6"
@@ -403,6 +544,51 @@ files = [
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]
 
+[[package]]
+name = "cryptography"
+version = "41.0.3"
+description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
+optional = false
+python-versions = ">=3.7"
+files = [
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+test-randomorder = ["pytest-randomly"]
+
 [[package]]
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 version = "0.5.9"
@@ -422,6 +608,23 @@ typing-inspect = ">=0.4.0"
 [package.extras]
 dev = ["flake8", "hypothesis", "ipython", "mypy (>=0.710)", "portray", "pytest (>=7.2.0)", "setuptools", "simplejson", "twine", "types-dataclasses", "wheel"]
 
+[[package]]
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+version = "1.2.14"
+description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+files = [
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+
+[package.extras]
+dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "sphinx (<2)", "tox"]
+
 [[package]]
 name = "diskcache"
 version = "5.6.3"
@@ -433,6 +636,62 @@ files = [
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+[[package]]
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+description = "Fast read/write of AVRO files"
+optional = false
+python-versions = ">=3.8"
+files = [
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+[package.extras]
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+lz4 = ["lz4"]
+snappy = ["python-snappy"]
+zstandard = ["zstandard"]
+
+[[package]]
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+version = "3.12.4"
+description = "A platform independent file lock."
+optional = false
+python-versions = ">=3.8"
+files = [
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+typing = ["typing-extensions (>=4.7.1)"]
+
 [[package]]
 name = "frozenlist"
 version = "1.4.0"
@@ -646,6 +905,50 @@ files = [
 docs = ["Sphinx", "docutils (<0.18)"]
 test = ["objgraph", "psutil"]
 
+[[package]]
+name = "html2text"
+version = "2020.1.16"
+description = "Turn HTML into equivalent Markdown-structured text."
+optional = false
+python-versions = ">=3.5"
+files = [
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+]
+
+[[package]]
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+version = "0.17.1"
+description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
+optional = false
+python-versions = ">=3.8.0"
+files = [
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+[package.dependencies]
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+packaging = ">=20.9"
+pyyaml = ">=5.1"
+requests = "*"
+tqdm = ">=4.42.1"
+typing-extensions = ">=3.7.4.3"
+
+[package.extras]
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+cli = ["InquirerPy (==0.3.4)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (==23.7)", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (<2.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+docs = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (==23.7)", "gradio", "hf-doc-builder", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (<2.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)", "watchdog"]
+fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
+inference = ["aiohttp", "pydantic (<2.0)"]
+quality = ["black (==23.7)", "mypy (==1.5.1)", "ruff (>=0.0.241)"]
+tensorflow = ["graphviz", "pydot", "tensorflow"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (<2.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+torch = ["torch"]
+typing = ["pydantic (<2.0)", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
+
 [[package]]
 name = "idna"
 version = "3.4"
@@ -820,6 +1123,24 @@ typing-extensions = ">=4.5.0"
 [package.extras]
 server = ["fastapi (>=0.100.0)", "pydantic-settings (>=2.0.1)", "sse-starlette (>=1.6.1)", "uvicorn (>=0.22.0)"]
 
+[[package]]
+name = "llama-hub"
+version = "0.0.30"
+description = "A library of community-driven data loaders for LLMs. Use with LlamaIndex and/or LangChain. "
+optional = false
+python-versions = ">=3.8.1,<4.0"
+files = [
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+
+[package.dependencies]
+atlassian-python-api = "*"
+html2text = "*"
+llama-index = ">=0.6.9"
+psutil = "*"
+retrying = "*"
+
 [[package]]
 name = "llama-index"
 version = "0.8.24.post1"
@@ -976,6 +1297,23 @@ files = [
     {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
 ]
 
+[[package]]
+name = "mpmath"
+version = "1.3.0"
+description = "Python library for arbitrary-precision floating-point arithmetic"
+optional = false
+python-versions = "*"
+files = [
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+    {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"},
+]
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+[package.extras]
+develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"]
+docs = ["sphinx"]
+gmpy = ["gmpy2 (>=2.1.0a4)"]
+tests = ["pytest (>=4.6)"]
+
 [[package]]
 name = "multidict"
 version = "6.0.4"
@@ -1081,6 +1419,24 @@ files = [
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 ]
 
+[[package]]
+name = "networkx"
+version = "3.1"
+description = "Python package for creating and manipulating graphs and networks"
+optional = false
+python-versions = ">=3.8"
+files = [
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+    {file = "networkx-3.1.tar.gz", hash = "sha256:de346335408f84de0eada6ff9fafafff9bcda11f0a0dfaa931133debb146ab61"},
+]
+
+[package.extras]
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+developer = ["mypy (>=1.1)", "pre-commit (>=3.2)"]
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+test = ["codecov (>=2.1)", "pytest (>=7.2)", "pytest-cov (>=4.0)"]
+
 [[package]]
 name = "nltk"
 version = "3.8.1"
@@ -1182,6 +1538,22 @@ files = [
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 ]
 
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+description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
+optional = false
+python-versions = ">=3.6"
+files = [
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+signals = ["blinker (>=1.4.0)"]
+signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
+
 [[package]]
 name = "openai"
 version = "0.28.0"
@@ -1415,6 +1787,32 @@ files = [
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 ]
 
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+description = "Cross-platform lib for process and system monitoring in Python."
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
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+
 [[package]]
 name = "pyarrow"
 version = "13.0.0"
@@ -1456,6 +1854,17 @@ files = [
 [package.dependencies]
 numpy = ">=1.16.6"
 
+[[package]]
+name = "pycparser"
+version = "2.21"
+description = "C parser in Python"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
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 version = "2.3.0"
@@ -1917,6 +2326,38 @@ urllib3 = ">=1.21.1,<3"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
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+description = "OAuthlib authentication support for Requests."
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
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+
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+
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+description = "Retrying"
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+
 [[package]]
 name = "rich"
 version = "13.5.2"
@@ -2041,6 +2482,241 @@ files = [
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 [package.extras]
 snowflake = ["snowflake-snowpark-python"]
 
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 [[package]]
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 version = "6.3.3"
@@ -2313,6 +3145,75 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
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 [[package]]
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@@ -2445,6 +3346,123 @@ files = [
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 watchmedo = ["PyYAML (>=3.10)"]
 
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+    {file = "wrapt-1.15.0.tar.gz", hash = "sha256:d06730c6aed78cee4126234cf2d071e01b44b915e725a6cb439a879ec9754a3a"},
+]
+
 [[package]]
 name = "yarl"
 version = "1.9.2"
@@ -2550,4 +3568,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.11"
-content-hash = "6845b8c3a1acce1b8f36651ceee4f14510d5cb4c3f5783c4bb77c8d19de0ddc9"
+content-hash = "ffbb7341894b19a18121014efbd4f94f7ceb28060da35231b8499360c38935f9"
diff --git a/pyproject.toml b/pyproject.toml
index 4389927..fdb4a26 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -12,6 +12,8 @@ llama-index = "^0.8.24.post1"
 llama-cpp-python = "^0.1.84"
 streamlit = "^1.26.0"
 pypdf = "^3.16.0"
+cohere = "^4.26"
+weaviate-client = "^3.24.1"
 
 
 [tool.poetry.group.dev.dependencies]
diff --git a/streamlit_examples/utils/cohere.py b/streamlit_examples/utils/cohere.py
new file mode 100644
index 0000000..64a0d6a
--- /dev/null
+++ b/streamlit_examples/utils/cohere.py
@@ -0,0 +1,24 @@
+import cohere
+import streamlit as st
+
+cohere_api_key = st.secrets["cohere_api_key"]
+
+
+@st.cache_resource(show_spinner="Connecting to Cohere...")
+def connect_cohere():
+    return cohere.Client(cohere_api_key)
+
+
+def summarize(text: str) -> str:
+    if len(text) <= 250:
+        # Cohere's API requires at least 250 characters
+        return text
+    response = connect_cohere().summarize(
+        text=text,
+        length="auto",
+        format="auto",
+        model="command",
+        additional_command="",
+        temperature=0.8,
+    )
+    return response.summary
diff --git a/streamlit_examples/utils/weaviate.py b/streamlit_examples/utils/weaviate.py
new file mode 100644
index 0000000..e8e1534
--- /dev/null
+++ b/streamlit_examples/utils/weaviate.py
@@ -0,0 +1,73 @@
+import streamlit as st
+import weaviate
+from streamlit_examples.utils.cohere import cohere_api_key
+
+
+@st.cache_resource(show_spinner="Connecting to Weaviate...")
+def connect_weaviate():
+    # Connect to the Weaviate demo database containing 10M wikipedia vectors
+    # This uses a public READ-ONLY Weaviate API key
+    auth_config = weaviate.auth.AuthApiKey(
+        api_key="76320a90-53d8-42bc-b41d-678647c6672e"
+    )
+    client = weaviate.Client(
+        url="https://cohere-demo.weaviate.network/",
+        auth_client_secret=auth_config,
+        additional_headers={
+            "X-Cohere-Api-Key": cohere_api_key,
+        },
+    )
+
+    client.is_ready()
+    return client
+
+
+def search_wikipedia(query, results_lang="en", limit=5):
+    """
+    Query the vectors database and return the top results.
+
+
+    Parameters
+    ----------
+        query: str
+            The search query
+
+        results_lang: str (optional)
+            Retrieve results only in the specified language.
+            The demo dataset has those languages:
+            en, de, fr, es, it, ja, ar, zh, ko, hi
+
+    """
+
+    client = connect_weaviate()
+
+    nearText = {"concepts": [query]}
+    properties = ["text", "title", "url", "views", "lang", "_additional {distance}"]
+
+    # To filter by language
+    if results_lang != "":
+        where_filter = {
+            "path": ["lang"],
+            "operator": "Equal",
+            "valueString": results_lang,
+        }
+        response = (
+            client.query.get("Articles", properties)
+            .with_where(where_filter)
+            .with_near_text(nearText)
+            .with_limit(limit)
+            .do()
+        )
+
+    # Search all languages
+    else:
+        response = (
+            client.query.get("Articles", properties)
+            .with_near_text(nearText)
+            .with_limit(limit)
+            .do()
+        )
+
+    result = response["data"]["Get"]["Articles"]
+
+    return result
diff --git a/streamlit_examples/utils/wikipedia.py b/streamlit_examples/utils/wikipedia.py
new file mode 100644
index 0000000..1ba3931
--- /dev/null
+++ b/streamlit_examples/utils/wikipedia.py
@@ -0,0 +1,29 @@
+from llama_index import Document
+
+
+def search_wiki(query, lang="en") -> list[Document]:
+    try:
+        import wikipedia
+        from wikipedia import PageError
+    except ImportError:
+        raise ImportError("Please install wikipedia: poetry add wikipedia")
+
+    wikipedia.set_lang(lang)
+    pages = wikipedia.search(query)
+    results = []
+    for page in pages:
+        try:
+            wiki_page = wikipedia.page(page, auto_suggest=False)
+            results.append(
+                Document(
+                    text=wiki_page.content,
+                    metadata={
+                        "title": wiki_page.title,
+                        "url": wiki_page.url,
+                        "pageid": wiki_page.pageid,
+                    },
+                )
+            )
+        except PageError:
+            pass
+    return results
diff --git a/streamlit_examples/wiki_search.py b/streamlit_examples/wiki_search.py
new file mode 100644
index 0000000..7fffc69
--- /dev/null
+++ b/streamlit_examples/wiki_search.py
@@ -0,0 +1,39 @@
+import streamlit as st
+from streamlit_examples.utils.cohere import summarize
+from streamlit_examples.utils.weaviate import search_wikipedia
+
+
+def link(i, item):
+    return f"**[{i+1}. {item['title']}]({item['url']})**"
+
+
+st.title("Search Wikipedia")
+
+user_query = st.chat_input(placeholder="Backpacking in Asia")
+
+if not user_query:
+    st.info("Search Wikipedia and summarize the results. Type a query to start.")
+    st.stop()
+
+root = st.empty()
+with root.status("Querying vector store..."):
+    items = search_wikipedia(user_query, limit=3)
+container = root.container()
+container.write(f"That's what I found about: _{user_query}_")
+
+placeholders = []
+for i, item in enumerate(items):
+    placeholder = container.empty()
+    placeholder.info(f"{link(i,item)} {item['text']}")
+    placeholders.append(placeholder)
+
+status = container.status(
+    "Search results retrieved. I am summarizing the results for you. Meanwhile you can scroll up and have a look at the full text."
+)
+
+for i, item in enumerate(items):
+    with placeholders[i].status(f"_Summarizing_: {link(i,item)} {item['text']}"):
+        summary = summarize(item["text"])
+    placeholders[i].success(f"{link(i,item)} {summary}")
+
+status.update(label="Search finished. Try something else!", state="complete")