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DropColumnsResult

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LanceDB

lancedb/lancedb

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    Jina Embeddings
    
    AWS Bedrock Text Embedding Functions
    
    IBM watsonx.ai Embeddings
    
    Voyage AI Embeddings
    
    Multimodal Embedding Functions
    Multimodal Embedding Functions
    
    OpenClip embeddings
    
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    Jina Embeddings
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    Build From Scratch
    
    Multimodal
    
    Rag
    
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    Recommender System
    
    Miscellaneous
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    Serverless QA Bot with S3 and Lambda
    
    Serverless QA Bot with Modal
  - 👾 JavaScript
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    Overview
    
    Serverless Website Chatbot
    
    YouTube Transcript Search
    
    TransformersJS Embedding Search
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    🦀 Rust
    
    Overview
- 📓 Studies
  📓 Studies
  - ↗Improve retrievers with hybrid search and reranking
- 💭 FAQs
- 🔍 Troubleshooting
- ⚙️ API reference
  ⚙️ API reference
Quick start
Concepts
Concepts
- Vector search
- Indexing
  Indexing
  - IVFPQ
  - HNSW
- Storage
- Data management
Guides
Guides
- Working with tables
- Building an ANN index
- Vector Search
- Full-text search (native)
- Full-text search (tantivy-based)
- Building a scalar index
- Hybrid search
  Hybrid search
- Late interaction with MultiVector search
  Late interaction with MultiVector search
  - Overview
  - Multivector Search: Efficient Document Retrieval with ColPali and LanceDB
- RAG
  RAG
  - Vanilla RAG
  - Multi-head RAG
  - Corrective RAG
  - Agentic RAG
  - Graph RAG
  - Self RAG
  - Adaptive RAG
  - SFR RAG
  - Advanced Techniques
    Advanced Techniques
    
    HyDE
    
    FLARE
- Reranking
  Reranking
- Filtering
- Versioning & Reproducibility
  Versioning & Reproducibility
  - Sync API
  - Async API
- Configuring Storage
- Migration Guide
- Tuning retrieval performance
  Tuning retrieval performance
Managing Embeddings
Managing Embeddings
- Understand Embeddings
- Get Started
- Embedding functions
- Available models
  Available models
  - Overview
  - Text Embedding Functions
    Text Embedding Functions
    
    Sentence Transformers
    
    Huggingface Embedding Models
    
    Ollama Embeddings
    
    OpenAI Embeddings
    
    Instructor Embeddings
    
    Gemini Embeddings
    
    Cohere Embeddings
    
    Jina Embeddings
    
    AWS Bedrock Text Embedding Functions
    
    IBM watsonx.ai Embeddings
  - Multimodal Embedding Functions
    Multimodal Embedding Functions
    
    OpenClip embeddings
    
    Imagebind embeddings
    
    Jina Embeddings
- User-defined embedding functions
- Variables and secrets
- Example - Multi-lingual semantic search
- Example - MultiModal CLIP Embeddings
Integrations
Integrations
Examples
Examples
- Example projects and recipes
- 🐍 Python
  🐍 Python
  - Overview
  - Build From Scratch
  - Multimodal
  - Rag
  - Vector Search
  - Chatbot
  - Evaluation
  - AI Agent
  - Recommender System
  - Miscellaneous
    Miscellaneous
    
    Serverless QA Bot with S3 and Lambda
    
    Serverless QA Bot with Modal
- 👾 JavaScript
  👾 JavaScript
- 🦀 Rust
  🦀 Rust
  - Overview
Studies
Studies
- Overview
- ↗Improve retrievers with hybrid search and reranking
API reference
API reference

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@lancedb/lancedb • Docs

@lancedb/lancedb / DropColumnsResult

Interface: DropColumnsResult

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version

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