Feb 16, 2025
Using LangChain CubeSemanticLoader for Data Model Metadata
Learn how to use LangChain's CubeSemanticLoader to retrieve and process Cube's data model metadata for enhancing LLM context and queries.
Feb 16, 2025
Using the LangChain PlayWright Browser Creator for Web Automation
Learn how to create an asynchronous PlayWright browser instance in LangChain for web automation and scraping tasks.
Feb 15, 2025
Using LangChain Infinity Local Embeddings for Text Embeddings
Learn how to generate text embeddings using the InfinityEmbeddingsLocal class with LangChain, an optimized local embeddings solution.
Feb 15, 2025
Load Mastodon Posts with LangChain's MastodonTootsLoader
Learn how to extract and process social media content from Mastodon using LangChain's document loader for toots.
Feb 11, 2025
Using Annoy Vector Store in LangChain
Learn how to use the Annoy vector store for approximate nearest neighbor search in LangChain to efficiently store and query document embeddings.
Feb 10, 2025
Using LangChain Cassandra Vector Store for Document Storage and Retrieval
Learn how to use the Cassandra vector store in LangChain to store and search documents using vector embeddings and metadata filtering.
Feb 10, 2025
Using RedisNum Filter Fields in LangChain
Learn how to use RedisNum filter fields to handle numeric data in Redis vector stores with LangChain.
Feb 9, 2025
ECloud Vector Search in LangChain - Using China Mobile's ElasticSearch Service
Learn how to use China Mobile's ECloud ElasticSearch vector search service in LangChain for efficient document retrieval and similarity search.
Feb 9, 2025
Using SparkLLM Text Embeddings in LangChain
Learn how to create text embeddings using iFlytek's SparkLLM embeddings service in LangChain. Supports both synchronous and asynchronous embedding generation.
Feb 8, 2025
Using LangChain Azure Cosmos DB NoSQL Vector Search Store
Learn how to store and search vectors using Azure Cosmos DB NoSQL Vector Search with LangChain.
Feb 8, 2025
ModelScope Hub Embeddings with LangChain
Learn how to generate text embeddings using ModelScope's models through LangChain's ModelScopeEmbeddings class.
Feb 7, 2025
Analyzing Test Results with LangChain TestResult
Learn how to analyze and manipulate LLM test results using TestResult, a specialized dictionary class for handling evaluation feedback and metrics in LangChain.
