- Natural-language questions
- Exact names, tools, acronyms, and project terms
- User preferences
- Decisions and facts
- Broader context gathering before generation
Why Hybrid Search Helps
AI memory has two common retrieval problems:- Exact text search can miss useful memories when the wording is different.
- Semantic search can miss exact names, acronyms, product names, or short facts.
Basic Search
Search A Specific User Or Tenant
Usescope when one API key serves multiple users, organizations, or tenants.
Use the same scope value when saving and searching.
project to narrow results inside a scope:
Query Guidelines
- Ask full questions instead of short keyword fragments.
- Include names, tools, dates, or projects when they matter.
- Use
categoryto narrow results topreference,fact,decision, orcontext. - Increase
limitwhen your AI layer needs more context.
Precision Controls
Most integrations should use the default settings. If you need more control, usethreshold.
Start with the default and tune only after testing real user queries.
What It Can And Cannot Do
Hybrid search can:- Find memories by meaning, even when the words differ.
- Find exact terms like company names, project names, tools, and acronyms.
- Improve over time when users submit feedback.
- Return a ranked set of memories that your app can pass to an LLM.
- Answer a question from information that was never saved.
- Replace tenant isolation. Use
scopeor a workspace for isolation. - Guarantee a final natural-language answer. It returns context so your app or AI layer can answer with the right evidence.
