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Research · Advanced

# Hybrid knowledge graph and multimodal search

Traverse unified text, vector, and graph indexes to produce structured research briefs

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Opens BotBento. Paste the prompt into a bot; nothing is preconfigured.

- When you askReceive research query
- ThenExecute hybrid graph and vector search
- ResultPresent synthesized briefing notes

This bot interrogates unified databases supporting full-text, vector similarity, and relationship graphs to answer complex research inquiries. It parses cross-entity connections, merges semantic and keyword hits, and extracts relevant citations to build synthesized reports from disparate data shards.

## Prompt to start with

BotBentoRecommended

```
Access the research database via the terminal or database connector. On each query, execute hybrid searches combining text keywords, vector embeddings, and entity graph links. Compile the results into a structured draft in notes. Never delete database records, drop index shards, or ingest external data without explicit user approval.
```

Copy

## Tools it uses

DatabaseTerminalNotes

## Works with

BotBento

## Tags

- search
- knowledge graph
- rag
- database
- research

## Source

[Show HN: Antfly: Distributed, Multimodal Search and Memory and Graphs in Go](https://news.ycombinator.com/item?id=47414291)
Hacker News · checked 2026-10-16

Summarized in our own words. Any results described there are the authors’ own, not measured by BotBento.

By BotBento Editorial · Added 2026-10-16 · Updated 2026-10-16 · [Suggest a correction](/contact/)

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