Chromadb metadata filtering example. This methodology is particularly employed .

Chromadb metadata filtering example Jun 8, 2024 · Steps of Chunking Till Retrieval: A Step-by-Step Example. 1. Here are some key filtering techniques: Metadata Filtering: This involves filtering data based on specific attributes associated with your vectors. Is there some way to do it when I Chroma Cloud. update_metadata({"tags": ["AI", "Machine Learning"]}) Filtering Best Practices: When working with collections, applying filters can significantly enhance the retrieval of relevant items. By using ChromaDB's filtering based on two values, you can restrict search querying time and improve performance when searching for documents based on dates. Looking into the documentation the only example about filters is using just one filter. Conclusion. I have a VectorStore that contains multiple pdfs and associated metadata. These filters can be based on metadata, vector similarity, or a combination of both. I want to only search for documents between 2 dates. If you have any further questions or need additional assistance, feel free to ask! Details. The metadata fields include ReleaseYear, Title, Origin, Director Oct 15, 2024 · I am using ChromaDB for simple Q&A and RAG. For example, this portable filter expression: Filtering Techniques. AI where metadata columns hold additional information about a movie dataset. Mar 28, 2023 · I need to supply a 'where' value to filter on metadata to Chromadb similarity_search_with_score function. You switched accounts on another tab or window. Apr 26, 2024 · I want to restrict the search during querying time in chromaDB by filtering based on the dates I'm storing in the metadata. Sources. Aug 1, 2024 · metadata: A dictionary of metadata associated with the collection. Integrations These were straightforward filtering examples on a single metadata field, but ChromaDB also supports other filtering operations that you might need. Those familiar with MongoDB queries will find Chroma's filters very similar. If you want to update existing documents, embeddings, or metadata, then you can use collection. Metadata can be changed using collection. Ref: https://gist. I want to store some information (as cache) in the collection metadata object. get_item(item_id="12345") item. Quick start with Python SDK, allowing for seamless integration and fast setup. as_retriever(filter={"source":"SOURCE_1"}) However, setting the filters manually isn’t very flexible. This methodology is particularly employed You signed in with another tab or window. I hope this post has helped you better understand what a vector database is, how you can set it up and how you can work with it. Metadata Filters ¶ May 8, 2024 · This method leverages the ChromaTranslator to convert your structured query into a format that ChromaDB understands, allowing you to filter your retrieval by year. Full-featured: Comprehensive retrieval features: Includes vector search, full-text search, document storage, metadata filtering, and multi-modal retrieval. Alternatively, is there a way to filter based on docID. Adding and Filtering Based on Metadata. By leveraging schema filtering techniques, users can effectively narrow down their queries to retrieve only the most relevant data. chroma_db. Sep 13, 2023 · I've started using Langchain and ChromaDB a few days ago, but I'm facing an issue I cannot solve. I can't find a straightforward way to do it. I will As you can see, indeed, all the companies that it returns actually have the word “Apple” in their description. Oct 4, 2024 · Filtering: Narrowing down results based on metadata. My goal is to pre-filter in multiple ways. query( filter={ 'column_name': 'value', 'vector_id': unique_vector_id }, batch_size=10000 ) Conclusion Optimizing vector searches in ChromaDB requires a strategic approach to selecting access paths and implementing advanced filtering techniques. Once you're comfortable with the concepts, you can jump to the Installation section to install ChromaDB. Apr 26, 2024 · ChromaDB is a powerful metadata storage system that allows for efficient searching and filtering of data. I tried the following where condition - query_embeddings=query_embedding, n_results=5, . similarity_search(query, filter={"source":"SOURCE_1"}) # or retriever = chroma_db. Document - filter documents based on document content using where_document in Collection. For example, some default settings are related to the collection. We have the flexibility to store an extensive amount of document metadata in ChromaDB. query() or Collection. get(). Here are some best practices for filtering in ChromaDB: Jan 24, 2024 · In the below example, we are setting up a table in KDB. github. Learn how to use the query method to extract relevant data from your ChromaDB collections. Sep 28, 2024 · Install with a simple command: pip install chromadb. Multiple Filters using Chroma(). Additionally, ChromaDB supports filtering queries by metadata and document contents using the where and where_document filters. KNN search in HNSW index - Similarity search with based on the embedded user query(ies). com/tazarov/3c9301d22ab863dca0b6fb1e5e3511b1. Let’s explore how we can leverage these query types for more complex use In the realm of advanced querying, particularly with ChromaDB, metadata filters play a crucial role in refining search results and enhancing the overall querying experience. I kept track of them when I added them. This section delves into effective strategies for filtering results using metadata in Chroma DB. Reload to refresh your session. where={"timestamp": . Aug 5, 2024 · ChromaDB supports various similarity metrics, such as cosine similarity. Production. May 16, 2024 · I'm working with LangChain's Chroma VectorStore, and I'm trying to filter documents based on a list of document names. You signed out in another tab or window. Keys can be strings, values can be strings, integers, floats, or booleans. Let’s use the same example text about Virat Kohli to illustrate the process of chunking, embedding, storing, and retrieving using Chroma DB. ChromaDB supports various filtering techniques that can be applied to metadata: Exact Match Filtering: This technique allows users to filter results based on exact matches of metadata attributes. Dec 8, 2024 · By leveraging metadata, you can filter out irrelevant documents and focus on the most pertinent information. Filtering¶ Chroma offers two types of filters: Metadata - filtering based on metadata attribute values; Documents - filtering based on document content (contains or not contains) Metadata¶ TODO - Add builder example; TODO - Describe all available operations The example demonstrates how Chroma metadata can be leveraged to filter documents based on how recently they were added or updated. Nov 21, 2024 · We suggest you first head to the Concepts section to get familiar with ChromaDB concepts, such as Documents, Metadata, Embeddings, etc. Hybrid Search: Combining text similarity with metadata filtering. as_retriever; Filter out vectorstore by metadata; Filtering a corpus of text on metadata, before running RetrievalQA Dec 13, 2024 · # Example of advanced filtering in ChromaDB results = chromadb. If metadata pre-filter returned any IDs to search on, only those IDs are searched. For example, filtering by a specific 'category' ensures that only relevant entries are returned. Ensure the attribute name used in the comparison ( start_year in this example) matches the actual attribute name in your data. There are also cases when you have multiple documents in your vectorstore, or potentially other metadata you can specify. This step is skipped if where or where_document are not provided. . The metadata is a dictionary of key-value pairs. update() . Understanding Schema Filtering Jan 20, 2024 · Can I run a query among a supplied list of documents, for example, by adding something like "where documents in supplied_doc_list"? I know those documents are in the collection. Jul 25, 2024 · Metadata pre-filter - Chroma plans a SQL query to select IDs to pass to KNN search. For instance, if you have a Jan 20, 2024 · Below is an example of initializing a persistent Chroma client. Oct 9, 2024 · This article introduces the ChromaDB database system, with a focus on querying collections and filtering results based on specific criteria. I have a list of document names as follows: Neo4j Vector Store - Metadata Filter Oracle AI Vector Search: Vector Store A Simple to Advanced Guide with Auto-Retrieval (with Pinecone + Arize Phoenix) Pinecone Vector Store - Metadata Filter Postgres Vector Store Hybrid Search with Qdrant BM42 Qdrant Hybrid Search Workflow Workflow JSONalyze Query Engine Feb 12, 2024 · 2. Overview: Metadata serves as an additional layer of context that can refine your search results Nov 29, 2024 · For example, you can update an item's metadata as follows: item = collection. Filtering metadata. Chroma allows for various filtering options that can be applied to your data queries. May 21, 2024 · This approach should help you filter documents based on multiple lists of metadata effectively. modify(metadata={"key": "value"}) (Note: Metadata is always overwritten when modified) For ChromaDB secured with Static API Token Authentication use the ChromaApi#withKeyToken Metadata filtering. rbif nbqfuv lbtk hbwzuqbhx kaqjg bkaeq beysbyb xbfoqb axa dnjppwyc