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Update Docs (#3520)

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This commit is contained in:
Deshraj Yadav
2025-09-30 08:41:36 -07:00
committed by GitHub
parent 135883935f
commit d68ed11d58
134 changed files with 2193 additions and 2090 deletions
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docs/components/vectordbs/dbs/opensearch.mdx
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@@ -58,7 +58,7 @@ config = {
m = Memory.from_config(config)
messages = [
{"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},
{"role": "assistant", "content": "How about a thriller movies? They can be quite engaging."},
{"role": "assistant", "content": "How about thriller movies? They can be quite engaging."},
{"role": "user", "content": "I'm not a big fan of thriller movies but I love sci-fi movies."},
{"role": "assistant", "content": "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future."}
]
@@ -74,8 +74,8 @@ results = m.search("What kind of movies does Alice like?", user_id="alice")
### Features
- Fast and Efficient Vector Search
- Can be deployed on-premises, in containers, or on cloud platforms like AWS OpenSearch Service.
- Multiple Authentication and Security Methods (Basic Authentication, API Keys, LDAP, SAML, and OpenID Connect)
- Can be deployed on-premises, in containers, or on cloud platforms like AWS OpenSearch Service
- Multiple authentication and security methods (Basic Authentication, API Keys, LDAP, SAML, and OpenID Connect)
- Automatic index creation with optimized mappings for vector search
- Memory Optimization through Disk-Based Vector Search and Quantization
- Real-Time Analytics and Observability
- Memory optimization through disk-based vector search and quantization
- Real-time analytics and observability