Memory (In-Memory Vector Store)

Example Code: examples/knowledge/vectorstores/inmemory

In-memory vector store is the simplest implementation, suitable for development testing and small-scale data scenarios.

Basic Configuration

import (
    "trpc.group/trpc-go/trpc-agent-go/knowledge"
    vectorinmemory "trpc.group/trpc-go/trpc-agent-go/knowledge/vectorstore/inmemory"
)

memVS := vectorinmemory.New()

kb := knowledge.New(
    knowledge.WithVectorStore(memVS),
    knowledge.WithEmbedder(embedder),
)

Configuration Options

Option	Description	Default
WithMaxResults(n)	Default number of search results	10

Features

• ✅ Zero configuration, works out of the box
• ✅ Supports all filter functionality (including FilterCondition)
• ⚠️ Data not persisted, lost after restart
• ⚠️ Only suitable for development and testing environments

Search Modes

Mode	Support	Description
Vector	✅	Vector similarity search (cosine similarity)
Filter	✅	Filter-only search, sorted by creation time
Hybrid	⚠️	Falls back to vector search
Keyword	⚠️	Falls back to filter search