# LanceDB

## Docs

- [LeRobot X-VLA Soft-Fold](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/datasets/lerobot-xvla-soft-fold.md): A Lance-formatted version of lerobot/xvla-soft-fold — a multi-camera robotics dataset from the X-VLA project — packaged as three Lance tables for efficient frame-level training, episode-level trajectory loading, and direct access to the original…
- [LibriSpeech clean](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/datasets/librispeech-clean.md): A Lance-formatted version of the LibriSpeech ASR clean configuration, sourced from openslr/librispeech_asr. Each row is one utterance with inline FLAC audio bytes, the reference transcript, a sentence-transformers embedding of that transcript, and…
- [MNIST](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/datasets/mnist.md): A Lance-formatted version of the classic MNIST handwritten-digit dataset covering 70,000 28×28 grayscale digits across ten balanced classes. Each row carries inline PNG bytes, the digit label, the human-readable class name, and a cosine-normalized…
- [MS MARCO v2.1](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/datasets/ms-marco-v2.md): A Lance-formatted version of MS MARCO v2.1 — Microsoft's machine-reading-comprehension benchmark built from anonymized Bing query logs. Each row is one user query, the up-to-10 candidate passages Bing retrieved for it with relevance flags, and the…
- [Natural Questions Validation](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/datasets/natural-questions-val.md): A Lance-formatted version of the Natural Questions validation split — 7,830 real Google search queries paired with the full Wikipedia article a human used to answer them, plus 1–5 annotator labels per question. MiniLM question embeddings are stored…
- [OpenVid-1M](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/datasets/openvid.md): A Lance-formatted version of the OpenVid-1M corpus — 937,957 high-quality clips with inline MP4 bytes, 1024-dim video embeddings, captions, and rich per-clip quality signals — available directly from the Hub at…
- [Oxford-IIIT Pet](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/datasets/oxford-pets.md): A Lance-formatted version of the Oxford-IIIT Pet dataset — 7,390 cat and dog photos across 37 breeds — sourced from pcuenq/oxford-pets. Each row carries the inline JPEG bytes, the breed name, a species flag distinguishing cats from dogs, and a…
- [Pascal VOC 2012 Segmentation](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/datasets/pascal-voc-2012-segmentation.md): A Lance-formatted version of the Pascal VOC 2012 semantic segmentation split, sourced from nateraw/pascal-voc-2012. Each row pairs an inline JPEG image with the per-pixel PNG segmentation mask and a cosine-normalized OpenCLIP ViT-B-32 image…
- [SQuAD v2](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/datasets/squad-v2.md): A Lance-formatted version of SQuAD v2 — the Stanford Question Answering Dataset with both answerable and deliberately unanswerable questions over Wikipedia passages — with MiniLM question embeddings stored inline and ready for retrieval at…
- [Stanford Cars](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/datasets/stanford-cars.md): A Lance-formatted version of the Stanford Cars fine-grained benchmark — 8,144 photographs across 196 make/model/year classes — sourced from Multimodal-Fatima/StanfordCars_train. Each row carries the inline JPEG bytes, the integer class id, a…
- [TextVQA](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/datasets/textvqa.md): A Lance-formatted version of TextVQA — visual question answering where the question requires reading text in the image (street signs, product labels, screen captures) — sourced from lmms-lab/textvqa. Each row carries the image bytes, the question…
- [TriviaQA](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/datasets/trivia-qa.md): A Lance-formatted version of TriviaQA (rc.nocontext config) — a large reading-comprehension dataset of trivia questions paired with a canonical answer, accepted aliases, and entity-type metadata — with MiniLM question embeddings stored inline and…
- [VQAv2](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/datasets/vqav2.md): A Lance-formatted version of VQAv2 — open-ended visual question answering on COCO images — sourced from lmms-lab/VQAv2. Each row is one (image, question, 10 annotator answers) triple with paired CLIP image and question embeddings drawn from the…
- [Demo Application Gallery](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/demos/index.md): Demo apps showcasing end-to-end applications built with LanceDB for production use cases.
- [Managing Embeddings](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/embedding/index.md): Use the embedding API in LanceDB -- registry, functions, schemas, and multi-language SDK support.
- [Embeddings: Quickstart](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/embedding/quickstart.md): Quickstart guide for generating and working with embeddings.
- [Architecture](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/enterprise/architecture.md): Learn how LanceDB Enterprise separates control, compute, and storage to serve remote tables at scale.
- [Benchmarks](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/enterprise/benchmarks.md): Representative latency and scalability benchmarks for LanceDB Enterprise.
- [Azure deployment guide](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/enterprise/deployment/azure.md): Learn how to deploy LanceDB Enterprise on Azure with AKS, Private Link, and Blob Storage.
- [Deployment guide](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/enterprise/deployment/index.md): Learn how to deploy LanceDB Enterprise in production environments.
- [LanceDB Enterprise](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/enterprise/index.md): Features and benefits of LanceDB Enterprise.
- [Enterprise Quickstart](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/enterprise/quickstart.md): Run the LanceDB quickstart workflow on a RemoteTable in LanceDB Enterprise.
- [Security & Compliance](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/enterprise/security.md): Learn about LanceDB Enterprise security features and best practices.
- [LanceDB Enterprise FAQ](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/faq/faq-enterprise.md): Commonly asked questions about LanceDB Enterprise.
- [LanceDB: Frequently Asked Questions](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/faq/faq-oss.md): Commonly asked questions about LanceDB OSS.
- [Frequently Asked Questions](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/faq/index.md): Common questions about LanceDB
- [Dependency Verification](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/deployment/dependency-verification.md): Diagnose and resolve package version mismatches between local and Ray worker environments.
- [Deploy Geneva using Helm](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/deployment/helm.md): Learn how to deploy Geneva on Kubernetes using the Geneva Helm Chart
- [Manual Deployment on Kubernetes](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/deployment/index.md): Learn how to deploy Geneva on Kubernetes using KubeRay for distributed feature engineering workflows on GKE and EKS.
- [Troubleshooting Geneva Deployments](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/deployment/troubleshooting.md): Learn how to diagnose and resolve common issues with Geneva deployments, including version compatibility, permissions, and serialization errors.
- [End-to-End Example](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/end-to-end.md): A complete Geneva example — raw data on S3, a backfill using a KubeRay cluster, and a materialized view with embeddings.
- [Multimodal Feature Engineering with Geneva](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/index.md): Learn how to do multimodal feature engineering in LanceDB Enterprise to transform raw data into meaningful features for AI models.
- [Backfilling](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/jobs/backfilling.md): Learn how to trigger backfill operations to populate column values in your LanceDB table using Geneva's distributed framework.
- [Bulk Loading & Updating Columns](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/jobs/bulk-load-columns.md): Load or update column data from external sources (Parquet, Lance, IPC) into your LanceDB table using a primary-key join.
- [Backfill Conflicts](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/jobs/conflicts.md): Learn how Geneva handles conflicts during backfill operations and what to do when they occur.
- [Geneva Console](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/jobs/console.md)
- [Execution Contexts](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/jobs/contexts.md): Learn how to set up your cluster for distributed execution.
- [Job Metrics (Diagnostics)](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/jobs/job_metrics.md): Use metrics from Geneva to diagnose why a backfill/refresh job is slow.
- [Job Lifecycle](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/jobs/lifecycle.md): Understanding how Geneva jobs work, their lifecycle states, and how to monitor and manage them.
- [Materialized Views with UDFs](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/jobs/materialized-views.md): Learn how to use Geneva's materialized view feature to declaratively manage batch updates of expensive operations using UDFs.
- [Distributed Job Performance and Cluster Sizing](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/jobs/performance.md): Learn how to tune Geneva distributed job performance by scaling compute resources and balancing write bandwidth.
- [Job and Session Startup Optimizations](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/jobs/startup.md): Learn how to optimize Geneva job and session startup times for faster interactive development and production workflows.
- [Troubleshooting Geneva Jobs](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/jobs/troubleshooting.md): Diagnose and fix common issues when running Geneva backfills, materialized views, and other distributed jobs.
- [What is Feature Engineering?](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/overview/index.md): Learn how to transform raw data into meaningful features for AI models using LanceDB's feature engineering capabilities. Scale your feature engineering workflows with distributed processing and UDFs.
- [Geneva Python SDK](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/reference.md): LanceDB Feature Engineering Python SDK Reference
- [Advanced Configuration](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/udfs/advanced-configuration.md): Learn about environment variables for configuring Geneva behavior.
- [Batch User-Defined Table Functions (UDTFs)](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/udfs/batch-udtfs.md): Use batch UDTFs for N:M transformations like deduplication, clustering, and aggregation across entire tables or partitions.
- [Blob Types in Geneva UDFs](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/udfs/blobs.md): Learn how to work with Lance Blobs in Geneva UDFs for handling large binary objects efficiently with lazy reading capabilities.
- [Error Handling in Geneva UDFs](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/udfs/error_handling.md): Learn how configure retry, skip, and fail behaviors for UDFs.
- [Understanding Transforms](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/udfs/index.md): Understand the three types of user-defined functions in Geneva — UDFs, scalar UDTFs, and batch UDTFs — and when to use each.
- [Profiling Stateful UDF Memory](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/udfs/profiling-memory.md): Find memory leaks and runaway peak usage in stateful UDFs with memray, before they cause worker OOMs in production.
- [Gemini](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/udfs/providers/gemini.md)
- [Built-in LLM and Embedding UDFs](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/udfs/providers/index.md)
- [OpenAI](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/udfs/providers/openai.md)
- [Sentence Transformers](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/udfs/providers/sentence-transformers.md)
- [Scalar User-Defined Table Functions (UDTFs)](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/udfs/scalar-udtfs.md): Use scalar UDTFs for 1:N row expansion — split videos into clips, chunk documents, or tile images with automatic parent column inheritance and incremental refresh.
- [User-Defined Functions (UDFs)](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/geneva/udfs/udfs.md): Define 1:1 transforms that add computed columns to your tables — embeddings, enrichment, scoring, and more.
- [LanceDB](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/index.md): Multimodal lakehouse for AI.
- [Full-Text Search (FTS) Index](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/indexing/fts-index.md): Create and tune BM25-based full-text search indexes in LanceDB.
- [GPU-Powered Vector Indexing](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/indexing/gpu-indexing.md): Accelerate IVF and HNSW index builds with GPU acceleration in LanceDB.
- [Indexing Data](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/indexing/index.md): Optimize search performance in LanceDB using vector indexes, full-text search, and scalar indexes. Understand IVF-PQ indexing for efficient vector similarity search.
- [Quantization](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/indexing/quantization.md): Learn about quantization when creating an index in LanceDB.
- [Keeping Indexes Up-to-Date with Reindexing](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/indexing/reindexing.md): Learn how to keep your indexes up-to-date in LanceDB using incremental indexing, including best practices for adding new records without full reindexing.
- [Scalar Indexes](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/indexing/scalar-index.md): Learn how to use scalar indexes in LanceDB for efficient metadata filtering and query optimization.
- [Vector Indexes](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/indexing/vector-index.md): Build and optimize LanceDB vector indexes, including IVF, HNSW and binary quantized indexes.
- [Agno](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/ai/agno.md): Build a search assistant using the Agno agent framework with LanceDB as the knowledge backend.
- [GenKit](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/ai/genkit.md)
- [Hermes Agent](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/ai/hermes-agent.md): Use LanceDB as a persistent, semantic memory backend for Hermes Agent. Get durable recall across sessions with vector and hybrid search.
- [Hugging Face Hub](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/ai/huggingface.md): Use LanceDB directly on Lance datasets hosted on the Hugging Face Hub for multimodal search and retrieval.
- [Kiln AI](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/ai/kiln.md)
- [LangChain](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/ai/langchain.md)
- [LlamaIndex](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/ai/llamaIndex.md)
- [PromptTools](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/ai/prompttools.md)
- [Meta Llama Synthetic Data Kit](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/ai/synthetic-data-kit.md): Use Meta Llama's Synthetic Data Kit with LanceDB to generate high-quality synthetic datasets for LLM fine-tuning and training.
- [dlt](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/data/dlt.md)
- [DuckDB](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/data/duckdb.md): Learn how to use the DuckDB-Lance extension to query Lance tables with SQL.
- [Pandas and PyArrow](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/data/pandas_and_pyarrow.md)
- [Polars](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/data/polars_arrow.md)
- [Pydantic](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/data/pydantic.md)
- [Voxel51](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/data/voxel51.md)
- [AWS Bedrock](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/embedding/aws.md)
- [Cohere](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/embedding/cohere.md)
- [ColPali](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/embedding/colpali.md)
- [Gemini](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/embedding/gemini.md)
- [Hugging Face](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/embedding/huggingface.md)
- [IBM watsonx](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/embedding/ibm.md)
- [ImageBind](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/embedding/imagebind.md)
- [Instructor](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/embedding/instructor.md)
- [Jina](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/embedding/jina.md)
- [Ollama](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/embedding/ollama.md)
- [OpenAI](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/embedding/openai.md)
- [OpenCLIP](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/embedding/openclip.md)
- [Sentence Transformers](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/embedding/sentence-transformers.md)
- [Superlinked](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/embedding/superlinked.md)
- [VoyageAI](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/embedding/voyageai.md)
- [Integrations](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/index.md): Connect LanceDB with popular AI providers, frameworks, and data platforms
- [LeRobotDataset](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/lerobotdataset.md): Use Lance-backed LeRobotDataset loaders and LanceDB to inspect, filter, and train on robotics datasets from the Hugging Face Hub.
- [Answer.AI Rerankers](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/reranking/answerdotai.md): Use AnswerDotAI's lightweight reranking library with LanceDB. Features unified API for common reranking models, configurable model selection, and comprehensive scoring options.
- [Cohere Reranker](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/reranking/cohere.md): Integrate Cohere's powerful reranking API with LanceDB for enhanced search results. Supports English and multilingual models with configurable scoring options for vector, FTS, and hybrid search.
- [ColBERT Reranker](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/reranking/colbert.md): Enhance search results with ColBERT's contextual reranking in LanceDB. Features efficient model deployment, device optimization, and flexible scoring options for vector, FTS, and hybrid search.
- [Jina Reranker](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/reranking/jina.md): Integrate Jina's multilingual reranking API with LanceDB for improved search results. Features model selection, API key management, and flexible scoring options for all search types.
- [OpenAI Reranker (Experimental)](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/reranking/openai.md): Explore experimental search reranking using OpenAI's GPT models in LanceDB. Features configurable model selection, API key management, and comprehensive scoring options for all search types.
- [VoyageAI Reranker](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/reranking/voyageai.md): Integrate VoyageAI's cutting-edge reranking models with LanceDB. Features model selection, API key management, and comprehensive scoring options for all search types.
- [Stable World Model](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/integrations/stable-worldmodel.md): Use Stable World Model with LanceDB-backed datasets for reproducible world model research, fast data loading, and compact storage.
- [Lance format](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/lance.md): Open-source lakehouse format for multimodal AI.
- [Namespaces and the Catalog Model](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/namespaces/index.md): Understand LanceDB as a catalog-level abstraction over Lance's table format, and learn how namespaces help organize Lance tables.
- [Using Namespaces](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/namespaces/usage.md): Use LanceDB's namespace-aware table and catalog APIs in Python, TypeScript, and Rust.
- [Performance Tips and Best Practices](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/performance.md): Optimize LanceDB for your workload across ingestion, indexing, querying, and maintenance.
- [Quickstart](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/quickstart.md): Get started with LanceDB in minutes.
- [Cross Encoder Reranker](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/reranking/cross_encoder.md): Implement semantic search reranking in LanceDB using Cross Encoder models. Features configurable model selection, device optimization, and comprehensive scoring options for all search types.
- [Building Custom Rerankers](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/reranking/custom-reranker.md): Learn how to create custom rerankers in LanceDB by extending the base Reranker class.
- [Evaluating Hybrid Search Performance](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/reranking/eval.md): Learn about evaluating hybrid search performance in LanceDB.
- [Reranking Search Results](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/reranking/index.md): Use a reranker to improve search relevance.
- [Linear Combination Reranker](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/reranking/linear_combination.md): Learn about LanceDB's deprecated Linear Combination Reranker for combining semantic and full-text search scores.
- [MRR Reranker](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/reranking/mrr.md): Combine and rerank search results using Mean Reciprocal Rank (MRR) algorithm in LanceDB. Supports weighted scoring for hybrid and multivector search.
- [Reciprocal Rank Fusion Reranker](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/reranking/rrf.md): Learn about LanceDB's default Reciprocal Rank Fusion (RRF) reranker for hybrid search. Implements the Cormack et al. algorithm for optimal search result ranking.
- [Metadata Filtering in LanceDB](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/search/filtering.md): Filter search results in LanceDB based on metadata fields.
- [Full-Text Search (FTS)](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/search/full-text-search.md): Learn how to implement full-text search in LanceDB using BM25 for keyword-based retrieval.
- [Hybrid Search](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/search/hybrid-search.md): Learn how to perform hybrid search in LanceDB by combining vector and full-text search techniques with reranking.
- [Search](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/search/index.md): Comprehensive guide to all search capabilities in LanceDB including vector search, full-text search, hybrid search, and more.
- [Multivector Search](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/search/multivector-search.md): Learn how to perform multivector search in LanceDB to handle multiple vector embeddings per document, which is ideal for late-interaction models like ColBERT and ColPaLi.
- [Optimize Query Performance](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/search/optimize-queries.md): Analyze and optimize query performance in LanceDB.
- [Full-Text Search with SQL](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/search/sql/fts-sql.md): Use LanceDB's full-text search capabilities via SQL queries.
- [Query with SQL](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/search/sql/index.md): SQL query capabilities in LanceDB Enterprise for analytical queries and data exploration.
- [Vector Search](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/search/vector-search.md): Learn how to run vector search queries in LanceDB. Includes best practices, tips and examples.
- [Configuring Cloud Storage in LanceDB](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/storage/configuration.md): Configure LanceDB to use S3, GCS, Azure Blob, and S3-compatible object stores with environment variables or storage options.
- [Storage Architecture in LanceDB](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/storage/index.md): Understand LanceDB storage backends, tradeoffs, and how to pick the right option for your latency, scale, and cost goals.
- [Tables and Namespaces](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/tables-and-namespaces.md): Learn more about the table abstraction and namespaces in LanceDB.
- [Consistency](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/tables/consistency.md): Learn about consistency settings and versioning in LanceDB tables.
- [Ingesting Data](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/tables/create.md): Learn about different methods to ingest data into tables in LanceDB, including from various data sources and empty tables.
- [Basic Table Operations](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/tables/index.md): Create tables, search vectors, and append data in LanceDB.
- [Multimodal Data (Blobs)](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/tables/multimodal.md): Learn how to store and query multimodal data (images, audio, video) directly in LanceDB using binary columns.
- [Schema and Data Evolution](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/tables/schema.md): Learn how to manage table schemas in LanceDB, including adding, altering, and dropping columns.
- [Updating and Modifying Table Data](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/tables/update.md): Learn how to update, merge, and delete rows in a LanceDB table.
- [Versioning and Reproducibility](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/tables/versioning.md): Learn how to implement versioning and ensure reproducibility in LanceDB. Includes version control, data snapshots, and audit trails.
- [Loading Data for Model Training](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/training/index.md): Introduction to loading data, shuffling, and creating permutations for model training in LanceDB.
- [Object Detection for AV Perception](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/training/object-detection.md): End-to-end fine-tuning of a Faster R-CNN object detector on curated dashcam slices, using LanceDB as the data backbone from raw frames to checkpoints.
- [PyTorch Integration](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/training/torch.md): Learn how to use LanceDB with PyTorch for training and inference.
- [Troubleshooting](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/troubleshooting.md): Tips for troubleshooting basic LanceDB issues.
- [RAG and Agents](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/tutorials/agents/index.md): Explore a variety of RAG (Retrieval-Augmented Generation) and agent applications built with LanceDB.
- [Multimodal Agent](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/tutorials/agents/multimodal-agent/index.md): Build an AI agent that understands both text and images to help users find recipes using LanceDB and PydanticAI
- [NVIDIA RAG Blueprint with LanceDB](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/tutorials/agents/nvidia-rag-blueprint/index.md): Use LanceDB as the retrieval layer for NVIDIA RAG Blueprint with a Docker-first, retrieval-only reference integration.
- [Time-Travel RAG with versioned data](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/tutorials/agents/time-travel-rag/index.md): Learn how to build production-ready RAG systems with LanceDB's time-travel capabilities for regulatory compliance and audit trails.
- [Feature Engineering](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/tutorials/feature-engineering/index.md): Learn how to build features for your data in LanceDB.
- [Tutorials](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/tutorials/index.md): Step-by-step tutorials for building applications with LanceDB
- [Search Tutorials](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/tutorials/search/index.md): Learn how vector, full-text and hybrid search work in LanceDB.
- [Finding the Needle in a Haystack: Comparing Multi-vector Search Strategies](https://lancedb-bcbb4faf-docs-hermes-agent-memory-integration.mintlify.app/tutorials/search/multivector-needle-in-a-haystack.md): Tutorial on token-level retrieval with LanceDB multivector search.