LibreChatMessage Search
Quickly search in past conversations with LibreChat's integrated Meilisearch
LibreChat has integrated Meilisearch to enhance the user experience by providing a fast and efficient way to search through past conversations. Meilisearch is a powerful, open-source search engine that is known for its speed and ease of use, making it an excellent choice for applications like LibreChat that require quick access to a large volume of data.
The integration lets users:
- Search conversation titles, tags, and indexed message contents from the sidebar
- Open a conversation when either its metadata or one of its messages matches
- Use typo tolerance and fast as-you-type results across conversation history
- Search messages and shared-link candidates with page sizes above Meilisearch's old 20-result request default
LibreChat combines conversation-index and message-index matches before loading the visible conversation page. Searches remain bounded by Meilisearch's configured pagination.maxTotalHits; the default ceiling used by LibreChat queries is 1,000 hits. See the Meilisearch Configuration Guide for setup, synchronization, and reindexing behavior.
Keyword search, not semantic search
Conversation search is keyword-based. It matches the words you type, so searching for "banana" finds messages containing "banana"; it will not find a message about "fruit" that never uses the word.
There is no vector or semantic search over conversation history. Semantic retrieval in LibreChat applies to uploaded files, not chat history: the RAG API embeds documents you attach and retrieves them by meaning using PostgreSQL + pgvector. The two are separate systems, and enabling one does not affect the other.
How is this guide?