feat: Add Elasticsearch VectorStore Component with Ingest and Advanced Search Capabilities #3899
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…nd error handling - Consolidated import statements and removed unused imports. - Reformatted long strings for better readability. - Enhanced error messages with variable assignment for clarity. - Removed redundant else clause in search_documents method.
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This PR introduces a new Elasticsearch VectorStore component that enables data ingestion and search functionalities within Langflow.
Related to #3735
Key features include:
Authentication capability using Elastic Cloud and Self-hosted (docker) Deployments.
Authentication and SSL Certificate Support: Configurable options for secure connections, including username/password authentication and SSL certificate verification.
Data Ingestion: Ability to ingest documents into the Elasticsearch vector store, converting data objects into LangChain documents.
Search Capabilities: Supports both similarity and Maximal Marginal Relevance (MMR) search types with configurable parameters like the number of results and score thresholds.
Error Handling and Logging: Enhanced error messages and logging for easier troubleshooting and debugging.