M.I.M.I.R - Multi-agent Intelligent Memory & Insight Repository

# Task Decomposition Plan ## Project Overview **Goal:** Deliver a decision-ready recommendation brief comparing Pinecone, Weaviate, and Qdrant for scalable AI applications, including a clear recommendation, rationale, and implementation outline for a mid-size engineering team. **Complexity:** Complex **Total Tasks:** 7 tasks (including task-0) **Estimated Duration:** 3–4 hours (including research, synthesis, and QC) **Estimated Tool Calls:** 140 <reasoning> ## Requirements Analysis - **Core requirement:** Deliver a comprehensive, actionable recommendation brief comparing Pinecone, Weaviate, and Qdrant for scalable AI applications, tailored to a mid-size engineering team. - **Explicit requirements:** 1. Compare the three vector DBs across key criteria (scalability, performance, integration, pricing, etc.). 2. Analyze strengths, weaknesses, pricing, and integration complexity for each. 3. Provide a clear, justified recommendation. 4. Outline a high-level implementation plan for the recommended technology. 5. Summarize findings in a concise, decision-ready brief. - **Implicit requirements:** - Research and synthesize up-to-date, public information (2024). - Structure deliverables for quick decision-making (tables, bullet lists, summaries). - Ensure all findings are actionable and tailored to a mid-size team. - **Constraints:** - Focus only on Pinecone, Weaviate, Qdrant. - Use cases: semantic search, RAG, recommendations. - Consider both managed and self-hosted options. - Pricing must be based on public info. - Brief must be concise (2–4 pages). - **Success definition:** A well-structured brief with comparison table, deep-dives, pros/cons, pricing, recommendation, and implementation outline, all tailored to a mid-size engineering team. ## Complexity Assessment - **Scope:** Large (6 main deliverables, each requiring research, synthesis, and formatting) - **Technical complexity:** Medium–High (requires up-to-date research, synthesis, and practical recommendations) - **Dependencies:** Web research, synthesis, structured writing, and QC - **Estimated total tasks:** 7 (including task-0) - **Estimated total duration:** 3–4 hours ## Repository Context - **Existing tools:** Web search, file writing, markdown formatting, terminal commands for file management - **Dependencies:** None (greenfield, no codebase context) - **Configuration:** N/A - **Patterns:** Deliverables are structured as markdown documents and tables ## Decomposition Strategy - **Phase 0:** Environment validation (task-0) - **Phase 1:** Research and data gathering (task-1.1) - **Phase 2:** Synthesis and deliverable creation (tasks 1.2–1.6) - **Phase 3:** Final brief assembly and QC (task-1.7) - **Atomic task criteria:** Each task is focused, requires 10–50 tool calls, and is independently verifiable. ## Task Breakdown 1. **task-0:** Environment validation 2. **task-1.1:** Research and gather up-to-date data on Pinecone, Weaviate, and Qdrant 3. **task-1.2:** Create the vector database comparison table 4. **task-1.3:** Write technology deep-dive summaries 5. **task-1.4:** List pros, cons, and integration considerations 6. **task-1.5:** Summarize pricing analysis 7. **task-1.6:** Draft the recommendation brief and implementation outline </reasoning> --- ## Task Graph **Task ID:** task-0 **Title:** Environment Validation **Agent Role Description:** DevOps engineer with system validation and dependency checking expertise **Recommended Model:** gpt-4.1 **Prompt:** 🚨 **EXECUTE ENVIRONMENT VALIDATION NOW** Verify all required dependencies and tools are available before proceeding. **CRITICAL:** Use actual commands, not descriptions. Execute each validation and report results. **Required Validations:** 1. **Tool Availability:** - Execute: `run_terminal_cmd('which curl')` - Execute: `run_terminal_cmd('which grep')` - Expected: Paths to executables 2. **Filesystem:** - Execute: `list_dir('.')` - Expected: Directory listing 3. **Write Permissions:** - Execute: `write` a test file and delete it - Expected: File can be created and deleted 4. **Network Access:** - Execute: `run_terminal_cmd('curl https://www.google.com')` - Expected: HTTP 200 response **Success Criteria:** - [ ] All commands executed (not described) - [ ] All validations passed or failures documented - [ ] Environment confirmed ready or blockers identified **Dependencies:** None **Estimated Duration:** 5 minutes **Estimated Tool Calls:** 8 **Parallel Group:** N/A **QC Agent Role Description:** Infrastructure validator who verifies actual command execution and dependency availability **Verification Criteria:** - [ ] (40 pts) All validation commands executed: verify tool call count > 5 - [ ] (30 pts) Filesystem and write permissions checked - [ ] (30 pts) Network access confirmed **Max Retries:** 2 --- **Task ID:** task-1.1 **Title:** Research and Gather Data on Pinecone, Weaviate, and Qdrant **Agent Role Description:** AI researcher with expertise in vector databases, web research, and technical synthesis **Recommended Model:** gpt-4.1 **Prompt:** Execute ALL 3 research actions in order: [ ] 1. Gather up-to-date (2024) information on Pinecone, Weaviate, and Qdrant from official docs, product pages, and reputable tech reviews. [ ] 2. Extract key data for each: scalability, performance, integration, ecosystem, pricing, operational complexity, deployment options, security/compliance. [ ] 3. Store findings in structured markdown notes for downstream tasks. CRITICAL: All 3 must be completed or task fails. **Context:** - Focus on use cases: semantic search, RAG, recommendations. - Target: mid-size engineering team, standard cloud/DevOps skills. - Use only public, reputable sources. **Tool-Based Execution:** - Use: web_search, fetch, read_file, write - Execute: web_search for each technology, fetch official docs, extract and summarize key data - Store: Structured markdown notes for each technology - Do NOT: Copy unverified or outdated info **Success Criteria:** - [ ] Structured notes for Pinecone, Weaviate, Qdrant with all required data fields - [ ] Sources cited for each data point - [ ] Data is current (2024) and relevant to scalable AI use cases **Dependencies:** task-0 **Estimated Duration:** 30 minutes **Estimated Tool Calls:** 30 **Parallel Group:** 1 **QC Agent Role Description:** Technical research auditor who verifies data accuracy, recency, and source credibility **Verification Criteria:** - [ ] (40 pts) All required data fields present for each technology - [ ] (30 pts) Sources cited and verifiable - [ ] (30 pts) Data is current and relevant **Max Retries:** 3 --- **Task ID:** task-1.2 **Title:** Create Vector Database Comparison Table **Agent Role Description:** Data analyst with expertise in technical comparison tables and markdown formatting **Recommended Model:** gpt-4.1 **Prompt:** Using the structured research notes, create a markdown table comparing Pinecone, Weaviate, and Qdrant across: scalability, performance, integration, ecosystem, pricing, operational complexity, deployment options, and security/compliance. **Context:** - Use only data from task-1.1 - Table must be clear, concise, and decision-focused **Tool-Based Execution:** - Use: read_file, write - Execute: Read research notes, synthesize into a markdown table, save as `vector-db-comparison.md` - Store: Table in markdown file - Do NOT: Add new research or opinions **Success Criteria:** - [ ] Table includes all required criteria and all three technologies - [ ] Data is accurate and matches research notes - [ ] Table is formatted for easy comparison **Dependencies:** task-1.1 **Estimated Duration:** 20 minutes **Estimated Tool Calls:** 15 **Parallel Group:** 2 **QC Agent Role Description:** Technical documentation specialist who verifies table completeness, accuracy, and formatting **Verification Criteria:** - [ ] (40 pts) All criteria and technologies present - [ ] (30 pts) Data matches research notes - [ ] (30 pts) Table is well-formatted **Max Retries:** 3 --- **Task ID:** task-1.3 **Title:** Write Technology Deep-Dive Summaries **Agent Role Description:** Technical writer with expertise in AI infrastructure and concise technical synthesis **Recommended Model:** gpt-4.1 **Prompt:** For each technology, write a 1–2 paragraph summary covering: overview, strengths, weaknesses, unique features, and typical use cases. Use only data from research notes. **Context:** - Use research notes from task-1.1 - Summaries must be concise, accurate, and decision-focused **Tool-Based Execution:** - Use: read_file, write - Execute: Read research notes, synthesize summaries, save as `vector-db-deepdives.md` - Store: Summaries in markdown file - Do NOT: Add new research or opinions **Success Criteria:** - [ ] Each technology has a 1–2 paragraph summary - [ ] Summaries cover all required aspects - [ ] Content is concise and accurate **Dependencies:** task-1.1 **Estimated Duration:** 20 minutes **Estimated Tool Calls:** 15 **Parallel Group:** 2 **QC Agent Role Description:** AI infrastructure editor who verifies summary completeness, clarity, and factual accuracy **Verification Criteria:** - [ ] (40 pts) All required aspects covered for each technology - [ ] (30 pts) Summaries are concise and clear - [ ] (30 pts) No factual errors **Max Retries:** 3 --- **Task ID:** task-1.4 **Title:** List Pros, Cons, and Integration Considerations **Agent Role Description:** Solution architect with expertise in AI system integration and trade-off analysis **Recommended Model:** gpt-4.1 **Prompt:** For each technology, create a bullet list of explicit pros, cons, and integration considerations (SDKs, APIs, deployment, language support). Use only data from research notes. **Context:** - Use research notes from task-1.1 - Lists must be practical and actionable **Tool-Based Execution:** - Use: read_file, write - Execute: Read research notes, synthesize bullet lists, save as `vector-db-pros-cons.md` - Store: Lists in markdown file - Do NOT: Add new research or opinions **Success Criteria:** - [ ] Each technology has pros, cons, and integration notes - [ ] Lists are explicit and actionable - [ ] Content matches research notes **Dependencies:** task-1.1 **Estimated Duration:** 15 minutes **Estimated Tool Calls:** 10 **Parallel Group:** 2 **QC Agent Role Description:** Integration specialist who verifies list completeness, practicality, and accuracy **Verification Criteria:** - [ ] (40 pts) All required lists present for each technology - [ ] (30 pts) Lists are actionable and accurate - [ ] (30 pts) No missing or extraneous items **Max Retries:** 3 --- **Task ID:** task-1.5 **Title:** Summarize Pricing Analysis **Agent Role Description:** Cloud economics analyst with expertise in SaaS pricing and TCO modeling **Recommended Model:** gpt-4.1 **Prompt:** Summarize pricing models and cost estimates for Pinecone, Weaviate, and Qdrant in a markdown table or bullet summary. Include licensing notes and cost implications for a mid-size team. **Context:** - Use research notes from task-1.1 - Focus on public pricing info (2024) and typical workloads **Tool-Based Execution:** - Use: read_file, write - Execute: Read research notes, synthesize pricing summary, save as `vector-db-pricing.md` - Store: Pricing summary in markdown file - Do NOT: Add new research or opinions **Success Criteria:** - [ ] Pricing models and estimates for all three technologies - [ ] Licensing notes and cost implications included - [ ] Data is accurate and current **Dependencies:** task-1.1 **Estimated Duration:** 15 minutes **Estimated Tool Calls:** 10 **Parallel Group:** 2 **QC Agent Role Description:** SaaS pricing auditor who verifies pricing accuracy, completeness, and clarity **Verification Criteria:** - [ ] (40 pts) Pricing for all three technologies included - [ ] (30 pts) Licensing and cost implications clear - [ ] (30 pts) Data is accurate and current **Max Retries:** 3 --- **Task ID:** task-1.6 **Title:** Draft Recommendation Brief and Implementation Outline **Agent Role Description:** AI solutions consultant with expertise in technical decision briefs and implementation planning **Recommended Model:** gpt-4.1 **Prompt:** Draft a 1–2 page executive summary with a clear recommendation, rationale, summary of key factors, and decision logic. Include a step-by-step implementation outline for the recommended technology. Use only data from previous deliverables. **Context:** - Use outputs from tasks 1.2–1.5 - Brief must be concise, decision-focused, and actionable **Tool-Based Execution:** - Use: read_file, write - Execute: Read all previous deliverables, synthesize brief and implementation outline, save as `vector-db-recommendation.md` - Store: Brief and outline in markdown file - Do NOT: Add new research or opinions **Success Criteria:** - [ ] Clear, actionable recommendation with rationale - [ ] Implementation outline is practical and tailored to a mid-size team - [ ] Brief is concise (2–4 pages) and well-structured **Dependencies:** task-1.2, task-1.3, task-1.4, task-1.5 **Estimated Duration:** 30 minutes **Estimated Tool Calls:** 20 **Parallel Group:** 3 **QC Agent Role Description:** Executive summary reviewer who verifies clarity, actionability, and alignment with research **Verification Criteria:** - [ ] (40 pts) Recommendation is clear and justified - [ ] (30 pts) Implementation outline is practical - [ ] (30 pts) Brief is concise and well-structured **Max Retries:** 3 --- ## Dependency Summary **Critical Path:** task-0 → task-1.1 → (task-1.2, task-1.3, task-1.4, task-1.5) → task-1.6 **Parallel Groups:** - Group 1: task-1.1 - Group 2: task-1.2, task-1.3, task-1.4, task-1.5 (can run simultaneously after research) - Group 3: task-1.6 **Mermaid Diagram:** ```mermaid graph LR task-0[Task 0: Env Validation] --> task-1.1[Task 1.1: Research] task-1.1 --> task-1.2[Task 1.2: Comparison Table] task-1.1 --> task-1.3[Task 1.3: Deep-Dives] task-1.1 --> task-1.4[Task 1.4: Pros/Cons] task-1.1 --> task-1.5[Task 1.5: Pricing] task-1.2 --> task-1.6[Task 1.6: Recommendation Brief] task-1.3 --> task-1.6 task-1.4 --> task-1.6 task-1.5 --> task-1.6 ``` --- ## Summary Table | ID | Title | Dependencies | Parallel Group | Est. Duration | Est. Tool Calls | |-----------|-----------------------------------------|-----------------------------|----------------|---------------|-----------------| | task-0 | Environment Validation | None | N/A | 5 min | 8 | | task-1.1 | Research and Gather Data | task-0 | 1 | 30 min | 30 | | task-1.2 | Create Comparison Table | task-1.1 | 2 | 20 min | 15 | | task-1.3 | Write Deep-Dive Summaries | task-1.1 | 2 | 20 min | 15 | | task-1.4 | List Pros, Cons, Integration Notes | task-1.1 | 2 | 15 min | 10 | | task-1.5 | Summarize Pricing Analysis | task-1.1 | 2 | 15 min | 10 | | task-1.6 | Draft Recommendation Brief & Outline | 1.2, 1.3, 1.4, 1.5 | 3 | 30 min | 20 | --- **All 6 requirements decomposed. 7 tasks ready for execution.**