From c88997cd2c7a82c0b9c32f7c94c68283694e408f Mon Sep 17 00:00:00 2001 From: Kyo Lee Date: Fri, 29 Sep 2023 05:17:46 +0000 Subject: [PATCH] [Release] Version 0.1.1 What's changed: - Update the version of ChromaDB to 4.13. - Re-generate the `poetry.lock` file. - Update Python scripts to migrate ChromaDB from 3.21 to 4.13 (See https://docs.trychroma.com/migration). - Updated README to clarify when to delete an existing vector database. - Update the chatbot UI template to use "PaLM" to refer to the AI model. Sept 28, 2023 --- demos/palm/python/docs-agent/README.md | 11 +- .../chatbot/templates/chatui/result.html | 2 +- demos/palm/python/docs-agent/chroma.py | 7 +- demos/palm/python/docs-agent/poetry.lock | 3716 ++++++++--------- demos/palm/python/docs-agent/pyproject.toml | 5 +- .../scripts/markdown_to_plain_text.py | 5 +- .../scripts/populate_vector_database.py | 15 +- .../scripts/test_vector_database.py | 4 +- 8 files changed, 1790 insertions(+), 1975 deletions(-) diff --git a/demos/palm/python/docs-agent/README.md b/demos/palm/python/docs-agent/README.md index 582fc9be1..a343dd044 100644 --- a/demos/palm/python/docs-agent/README.md +++ b/demos/palm/python/docs-agent/README.md @@ -487,15 +487,16 @@ To convert Markdown files to plain text files: ### 2. Populate a new vector database -**Important**: If the `vector_stores/chroma` directory already exists, delete -(or move) the `chroma` directory before populating a new vector database. Also, -if the Docs Agent chat app is already running using this `chroma` directory, shut down -the app before deleting the directory. - Once you have plain text files processed and stored in the `output_path` directory, you can run the `populat_vector_database.py` script to populate a vector database with the contents of the plain text files and their embeddings (and metadata). +**Important**: For a clean setup, if the `vector_stores/chroma` directory already +exists, delete (or move) the `chroma` directory before populating a new vector +database. (Otherwise, new entries will be added to your existing vector database.) +Also, if the Docs Agent chat app is already running using this `chroma` directory, +shut down the app before deleting the directory. + To populate a new vector database: 1. Go to the Docs Agent project directory, for example: diff --git a/demos/palm/python/docs-agent/chatbot/templates/chatui/result.html b/demos/palm/python/docs-agent/chatbot/templates/chatui/result.html index a61396cb9..3dd0446fc 100644 --- a/demos/palm/python/docs-agent/chatbot/templates/chatui/result.html +++ b/demos/palm/python/docs-agent/chatbot/templates/chatui/result.html @@ -38,7 +38,7 @@

Question:

{{ question | replace("+", " ") | replace("%3F", "?")}}

 -

Bard's response:

+

PaLM's response:

{{ response_in_html | safe }} diff --git a/demos/palm/python/docs-agent/chroma.py b/demos/palm/python/docs-agent/chroma.py index aecc6f940..403ce462b 100644 --- a/demos/palm/python/docs-agent/chroma.py +++ b/demos/palm/python/docs-agent/chroma.py @@ -42,12 +42,7 @@ class Chroma: """Chroma wrapper""" def __init__(self, chroma_dir) -> None: - self.client = chromadb.Client( - Settings( - chroma_db_impl="duckdb+parquet", - persist_directory=chroma_dir, - ) - ) + self.client = chromadb.PersistentClient(path=chroma_dir) def list_collections(self): return self.client.list_collections() diff --git a/demos/palm/python/docs-agent/poetry.lock b/demos/palm/python/docs-agent/poetry.lock index fba9000e0..6220b567d 100644 --- a/demos/palm/python/docs-agent/poetry.lock +++ b/demos/palm/python/docs-agent/poetry.lock @@ -11,25 +11,37 @@ files = [ {file = "absl_py-1.4.0-py3-none-any.whl", hash = "sha256:0d3fe606adfa4f7db64792dd4c7aee4ee0c38ab75dfd353b7a83ed3e957fcb47"}, ] +[[package]] +name = "annotated-types" +version = "0.5.0" +description = "Reusable constraint types to use with typing.Annotated" +optional = false +python-versions = ">=3.7" +files = [ + {file = "annotated_types-0.5.0-py3-none-any.whl", hash = "sha256:58da39888f92c276ad970249761ebea80ba544b77acddaa1a4d6cf78287d45fd"}, + {file = "annotated_types-0.5.0.tar.gz", hash = "sha256:47cdc3490d9ac1506ce92c7aaa76c579dc3509ff11e098fc867e5130ab7be802"}, +] + [[package]] name = "anyio" -version = "3.6.2" +version = "3.7.1" description = "High level compatibility layer for multiple asynchronous event loop implementations" optional = false -python-versions = ">=3.6.2" +python-versions = ">=3.7" files = [ - 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b/demos/palm/python/docs-agent/pyproject.toml index 9cc8489b6..60ac1fbbf 100644 --- a/demos/palm/python/docs-agent/pyproject.toml +++ b/demos/palm/python/docs-agent/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "docs-agent" -version = "0.1.0" +version = "0.1.1" description = "" authors = ["Docs Agent contributors"] readme = "README.md" @@ -11,7 +11,7 @@ rich = "^13.3.5" Markdown = "^3.4.3" beautifulsoup4 = "^4.12.2" protobuf = ">=3.20" -chromadb = "^0.3.21" +chromadb = "==0.4.13" sentence-transformers = "^2.2.2" ratelimit = "^2.2.1" absl-py = "^1.4.0" @@ -21,6 +21,7 @@ google-generativeai = "^0.1.0" grpcio = "^1.57.0" grpcio-tools = "^1.57.0" uuid = "^1.30" +pytz = ">=2020.1" [tool.poetry.group.dev.dependencies] ipython = "^8.13.2" diff --git a/demos/palm/python/docs-agent/scripts/markdown_to_plain_text.py b/demos/palm/python/docs-agent/scripts/markdown_to_plain_text.py index cd9ac1549..8f1585dd7 100644 --- a/demos/palm/python/docs-agent/scripts/markdown_to_plain_text.py +++ b/demos/palm/python/docs-agent/scripts/markdown_to_plain_text.py @@ -153,6 +153,9 @@ def process_page_and_section_titles(markdown_text): page_title = data["title"] markdown_text = data.content metadata = data.metadata + if "URL" in data: + final_url = data["URL"] + metadata["URL"] = final_url for line in markdown_text.split("\n"): new_line = "" skip_this_line = False @@ -173,7 +176,7 @@ def process_page_and_section_titles(markdown_text): # Detect Markdown heading levels if heading == "#": page_title = captured_title.strip() - metadata = {"title": page_title} + metadata["title"] = page_title subsection_title = "" section_title = "" elif heading == "##": diff --git a/demos/palm/python/docs-agent/scripts/populate_vector_database.py b/demos/palm/python/docs-agent/scripts/populate_vector_database.py index ce4f9414e..51eeb0ce8 100644 --- a/demos/palm/python/docs-agent/scripts/populate_vector_database.py +++ b/demos/palm/python/docs-agent/scripts/populate_vector_database.py @@ -108,10 +108,7 @@ MODEL = os.path.join(BASE_DIR, "models/all-mpnet-base-v2") emb_fn = embedding_functions.SentenceTransformerEmbeddingFunction(model_name=MODEL) -chroma_client = chromadb.Client( - Settings(chroma_db_impl="duckdb+parquet", persist_directory=LOCAL_VECTOR_DB_DIR) -) - +chroma_client = chromadb.PersistentClient(path=LOCAL_VECTOR_DB_DIR) # Create embed function for PaLM # API call limit to 5 qps @@ -175,6 +172,8 @@ def embed_function(texts: Documents) -> Embeddings: # Using the full path avoids mismatches full_file_name = FULL_BASE_DIR + clean_filename + file metadata_dict_extra = {} + # Flag to see if there is a predefined URL from frontmatter + final_url = False # Reads the metadata associated with files for key in index: if full_file_name in index[key]: @@ -197,6 +196,10 @@ def embed_function(texts: Documents) -> Embeddings: index[key][full_file_name]["metadata"], delimiter="_" ) metadata_dict_extra = dict(metadata_dict_extra) + # Extracts user specified URL + if "URL" in metadata_dict_extra: + final_url = True + final_url_value = metadata_dict_extra["URL"] else: metadata_dict_extra = {} if "UUID" in index[key][full_file_name]: @@ -216,6 +219,9 @@ def embed_function(texts: Documents) -> Embeddings: # Remove .md at the end of URLs by default. match3 = re.search(r"(.*)\.md$", url) url = match3[1] + # Replaces the URL if it comes from frontmatter + if (final_url): + url = final_url_value # Creates a dictionary with basic metadata values # (i.e. source, URL, and md_hash) metadata_dict_main = { @@ -287,7 +293,6 @@ def embed_function(texts: Documents) -> Embeddings: print("[Warning] Empty file!") print("") auto.close() -chroma_client.persist() # results = collection.query( # query_texts=["What are some differences between apples and oranges?"], # n_results=3, diff --git a/demos/palm/python/docs-agent/scripts/test_vector_database.py b/demos/palm/python/docs-agent/scripts/test_vector_database.py index e87d4735f..075bda6e3 100644 --- a/demos/palm/python/docs-agent/scripts/test_vector_database.py +++ b/demos/palm/python/docs-agent/scripts/test_vector_database.py @@ -83,9 +83,7 @@ def embed_palm(texts: Documents) -> Embeddings: ai_console = Console(width=160) ai_console.rule("Fold") -chroma_client = chromadb.Client( - Settings(chroma_db_impl="duckdb+parquet", persist_directory=LOCAL_VECTOR_DB_DIR) -) +chroma_client = chromadb.PersistentClient(path=LOCAL_VECTOR_DB_DIR) if EMBEDDINGS_TYPE == "PALM": PALM_EMBEDDING_MODEL = "models/embedding-gecko-001"