Neotask automates your Chroma vector database - managing collections, indexing documents, and running semantic searches so your AI applications stay powered with fresh data.
Your knowledge base stays indexed automatically - your agent adds, updates, and manages documents in Chroma collections as your content evolves
Semantic search powers your AI features - query collections by meaning, not just keywords, and get the most relevant results every time
Collection lifecycle runs without manual work - creation, configuration, monitoring, and cleanup happen through conversation or on schedule
What You Can Do
Your AI agent manages Chroma as the vector backbone for your AI applications. Collections get created, documents get indexed, and semantic queries run - all automatically.
Collection Management
Create, modify, and delete collections through conversation. Your agent handles configuration, monitors collection health with document counts and peek operations, and manages the full lifecycle.
Document Operations
Add documents individually or in bulk. Your agent updates existing documents, deletes outdated ones, and queries for specific records. It maintains your vector store as your knowledge base evolves.
Semantic Search
Query collections by meaning using vector similarity search. Your agent retrieves the most semantically relevant documents for any query - powering RAG pipelines, recommendation engines, and intelligent search features.
Every action runs autonomously or requires your approval - you decide.
Try Asking
"Create a collection called 'support-docs' for our customer support knowledge base"
"Add these 50 help articles to the 'support-docs' collection"
"Query 'support-docs' for content similar to 'how to reset my password' - show the top 5 results"
"How many documents are in each of my collections?"
"Delete all documents in the 'old-articles' collection that were added before January 2026"
"Update the metadata for documents in 'product-docs' to include the new version tag"
"Peek at the first 10 documents in the 'embeddings' collection to verify the schema"
Pro Tips
Schedule nightly indexing jobs - your agent adds new content and removes stale documents from your collections automatically
Use peek operations before bulk changes to verify you're working with the right data
Always check collection count after bulk operations to confirm everything was ingested
Pair Chroma with your content management integration for real-time knowledge base synchronization
Approval gates on delete operations prevent accidental data loss in production collections
Collection-per-use-case architecture keeps your vector store organized - separate collections for support docs, product info, and internal knowledge
Multiple workspaces and capacity for larger teams.
Works Well With
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Firebase - Connect Chroma and Firebase with Neotask to build AI-powered apps with vector search and real-time data synced seamlessl...
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