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Tantivy
🔎 Tantivy
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Rust Search Engine, Full-Text Indexing, Query Parsing, BM25
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31
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STORM: Stepwise Token Optimization with Reward-Guided Beam
Search
🕸️
Sparse Vectors
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for STORM: Stepwise Token Optimization with Reward-Guided Beam Search
Your AI agent reads the fine print: building a RAG pipeline over EU regulations with Elasticsearch and OGX
🏗️
Search Infrastructure
Content type:
Blog
elastic.co
·
3d
3 days ago
Actions for Your AI agent reads the fine print: building a RAG pipeline over EU regulations with Elasticsearch and OGX
Less-relevant results
I built a graph-memory layer on top of turbovec for local/constrained RAG — looking for feedback
🎯
Vector Search
Content type:
Code
github.com
·
13h
13 hours ago
·
r/LocalLLaMA
Actions for I built a graph-memory layer on top of turbovec for local/constrained RAG — looking for feedback
Agent Memory Database: Build It on TiDB with SQL and Python
🎯
Vector Search
Content type:
Blog
pingcap.com
·
1d
1 day ago
Actions for Agent Memory Database: Build It on TiDB with SQL and Python
Agentic
search
- retrieval, harness, or model?
🕸️
Sparse Vectors
Content type:
Blog
softwaredoug.com
·
4d
4 days ago
·
Hacker News
Actions for Agentic search - retrieval, harness, or model?
How I benchmarked a 100% local RAG pipeline to 9/9 (zero API keys)
🤖
AI
buy.polar.sh
·
3d
3 days ago
·
DEV
Actions for How I benchmarked a 100% local RAG pipeline to 9/9 (zero API keys)
hashwnath/KMCP: Open-source MCP server for your docs. Zero LLM at
query
time. docker compose up and go.
📋
MCP
Content type:
Code
github.com
·
2d
2 days ago
·
Hacker News
Actions for hashwnath/KMCP: Open-source MCP server for your docs. Zero LLM at query time. docker compose up and go.
Best practices for building a modern app with vector
search
🏗️
Search Infrastructure
Content type:
Blog
elastic.co
·
3d
3 days ago
Actions for Best practices for building a modern app with vector search
Towards Retrieving Interaction Spaces for Agentic
Search
🕸️
Sparse Vectors
Content type:
Academic
arxiv.org
·
4d
4 days ago
Actions for Towards Retrieving Interaction Spaces for Agentic Search
Show HN: YourMemory, agentic memory is a pruning problem, not a hoarding problem
📋
MCP
Content type:
Discussion
yourmemoryai.vercel.app
·
4d
4 days ago
·
Hacker News
Actions for Show HN: YourMemory, agentic memory is a pruning problem, not a hoarding problem
DeytaHQ/khora: Library for creating knowledge repositories from multi-source data and expose a single
query
substrate
🚀
Astral
Content type:
Code
github.com
·
2d
2 days ago
·
Hacker News
Actions for DeytaHQ/khora: Library for creating knowledge repositories from multi-source data and expose a single query substrate
The Brain That Goes Quiet: Serving a Large Model's Knowledge at 131 Tokens per Second on an 8 GB Laptop by Removing the Large Model from the Runtime Path
🤖
AI
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for The Brain That Goes Quiet: Serving a Large Model's Knowledge at 131 Tokens per Second on an 8 GB Laptop by Removing the Large Model from the Runtime Path
Retrieval Augmented Generation Framework for the Nepali Legal Domain Question Answering
🕸️
Sparse Vectors
Content type:
Academic
arxiv.org
·
3d
3 days ago
Actions for Retrieval Augmented Generation Framework for the Nepali Legal Domain Question Answering
paradedb/drizzle-paradedb: Official extension to Drizzle for use with ParadeDB
🔍
Paradedb
Content type:
Code
github.com
·
6d
6 days ago
·
r/javascript
,
r/node
,
r/typescript
Actions for paradedb/drizzle-paradedb: Official extension to Drizzle for use with ParadeDB
The Structural Attention Tax: How Retrieval Format Hijacks In-Context Learning
Independent
of Content
🕸️
Sparse Vectors
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for The Structural Attention Tax: How Retrieval Format Hijacks In-Context Learning Independent of Content
shoo99/paper-rag: A private,
fully-local
RAG over your own PDFs: BGE-M3 + embedded Qdrant + a local LLM via Ollama. ~150 lines, nothing leaves your machine.
🤖
AI
Content type:
Code
github.com
·
6d
6 days ago
·
DEV
Actions for shoo99/paper-rag: A private, fully-local RAG over your own PDFs: BGE-M3 + embedded Qdrant + a local LLM via Ollama. ~150 lines, nothing leaves your machine.
RISE: A
Rust
Library for
Inverted
Index
Search Engines
📑
Inverted Indexes
Content type:
Academic
arxiv.org
·
4d
4 days ago
Actions for RISE: A Rust Library for Inverted Index Search Engines
Aperio: Lightweight
search
engine
in
Rust
– GBs of data in < 1ms, < 256MB RAM
🔍
Search Indexing
Content type:
Code
github.com
·
6d
6 days ago
·
Hacker News
,
r/opensource
Actions for Aperio: Lightweight search engine in Rust – GBs of data in < 1ms, < 256MB RAM
TrustMargin: Training-Free Arbitration between Parametric Memory and Retrieved Evidence in Large Language Models
🕸️
Sparse Vectors
Content type:
Academic
arxiv.org
·
3d
3 days ago
Actions for TrustMargin: Training-Free Arbitration between Parametric Memory and Retrieved Evidence in Large Language Models
Decision-Aware Memory Cards: Counterfactual-Inspired Context Selection and Compression for Tool-Using LLM Agents
🤖
AI
Content type:
Academic
arxiv.org
·
3d
3 days ago
Actions for Decision-Aware Memory Cards: Counterfactual-Inspired Context Selection and Compression for Tool-Using LLM Agents
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