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Documentation Index

Fetch the complete documentation index at: https://docs.lambdadb.ai/llms.txt

Use this file to discover all available pages before exploring further.

LambdaDB is an AI-native database designed for building accurate, secure, and scalable AI apps and agents. Store and search unstructured data at scale without managing any infrastructure.

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🗃️ Serverless storage & retrieval

Object storage

Store text, embeddings, and their metadata with flexible schema support across 9 different index types.

Vector search

k-NN search with cosine, euclidean, dot product, max inner product metrics.

Full-text search

Multi-language analysis (English, Korean, Japanese, standard).

Hybrid search

Combines vector + lexical with score normalization (RRF, Min-Max, L2).

Multi-field vector search

Search across multiple vector fields simultaneously.

Sparse vector search

Efficient high-dimensional sparse vector storage and search.

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🏢 Enterprise features

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Backup & recovery

  • Continuous backups: Automatic collection-level backups with 30-day retention by default.
  • Point-in-time recovery (PITR): Restore a collection to any specific moment within the retention period.
  • Zero-copy branching: Instant collection fork without data duplication.

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Operation & management

  • Serverless-native architecture: Zero infrastructure management required without paying for idle resources.
  • Configurable rate limiting: Project-level controls for API usage.
  • RESTful API: Simple HTTP-based interface with comprehensive SDKs.