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Chroma

@trychroma • 31,030 subscribers

Data infrastructure for AI Apache 2.0

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Introducing Chroma Context-1, a 20B parameter search agent. > pushes the pareto frontier of agentic search > order of magnitude faster > order of magnitude cheaper > Apache 2.0, open-source
13:20
trychroma's profile picture

Introducing Chroma Context-1, a 20B parameter search agent. > pushes the pareto frontier of agentic search > order of magnitude faster > order of magnitude cheaper > Apache 2.0, open-source

Chroma

1,126,108 просмотров • 7 месяцев назад

Introducing our latest technical report: Context Rot - How Increasing Input Tokens Impacts LLM Performance Our results reveal that models do not use their context uniformly. full report in replies
7:55
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Introducing our latest technical report: Context Rot - How Increasing Input Tokens Impacts LLM Performance Our results reveal that models do not use their context uniformly. full report in replies

Chroma

187,092 просмотров • 1 год назад

Introducing Chroma Cloud: an open-source serverless search database that is fast, cost-effective, scalable, and reliable.
0:40
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Introducing Chroma Cloud: an open-source serverless search database that is fast, cost-effective, scalable, and reliable.

Chroma

127,956 просмотров • 1 год назад

We introduce representative generative benchmarking—custom eval sets built from your own data that reflect real user queries. thank you for collaborating! link to report in replies
13:49
trychroma's profile picture

We introduce representative generative benchmarking—custom eval sets built from your own data that reflect real user queries. thank you for collaborating! link to report in replies

Chroma

74,443 просмотров • 1 год назад

Introducing Chroma Package Search Enable your AI agents to search the source code of your package dependencies Includes 3 MCP tools: package_search_hybrid() package_search_grep() package_search_read_file() Add it to Cursor, Claude Code, VS Code, and Codex in 5 seconds
1:18
trychroma's profile picture

Introducing Chroma Package Search Enable your AI agents to search the source code of your package dependencies Includes 3 MCP tools: package_search_hybrid() package_search_grep() package_search_read_file() Add it to Cursor, Claude Code, VS Code, and Codex in 5 seconds

Chroma

41,833 просмотров • 1 год назад

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