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Sycamore
Sycamore
  • Installing and Getting Started With Sycamore
    • Sycamore Concepts
    • Recommended resources to run Sycamore
    • AI Configuration
  • Using Jupyter notebooks
  • Transforms
    • Embed
    • Explode
    • ExtractEntity
    • Extract Schema
    • Filter
    • FlatMap
    • LLM Query
    • Map
    • MapBatch
    • Materialize
    • Merge
    • Partition
    • Sketch
    • Summarize
  • Connectors
    • DuckDB
    • Weaviate
    • Pinecone
    • Elasticsearch
    • OpenSearch
    • Neo4j
    • Qdrant
  • Querying Data with Sycamore
  • Vector Database Ingestion Examples
    • Loading Pinecone with Sycamore
    • Loading OpenSearch with Sycamore
    • Loading Weaviate with Sycamore
  • Sycamore APIs
    • Context
    • DocSet
    • DocSetReader
    • DocSetWriter
    • LLM
    • Prompts
    • Document
    • Functions
    • Node
    • Query
    • Low-Level Transforms (for Sycamore development)
      • Assign Doc Properties
      • Augment Text
      • Basics
      • Bbox Merge
      • Embed
      • Explode
      • Extract Entity
      • Extract Schema
      • Extract Table
      • Extract Table Properties
      • LLM Map
      • LLM Query
      • Map
      • Mark Misc
      • Merge Elements
      • Partition
      • Query
      • Random Sample
      • Regex Replace
      • Sketcher
      • Split Elements
      • Spread Properties
      • Standarizer
      • Summarize
      • Summarize Images
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Vector Database Ingestion ExamplesΒΆ

Now that you've learned about Sycamore concepts, transforms, and connectors, let's put it all together with some tutorials showing how to write Sycamore processing jobs.

Some tutorials are located below, and visit the Aryn blog for more examples.

  • Loading Pinecone with Sycamore
  • Loading OpenSearch with Sycamore
  • Loading Weaviate with Sycamore
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Loading Pinecone with Sycamore
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Querying Data with Sycamore
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